Статьи

Ниже приведены последние статьи (отсортированные по дате публикации) о создании промптов для больших языковых моделей (LLM). Мы обновляем список статей.

Обзоры

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• Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation (May 2023)

• Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study(May 2023.)

• Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond(April 2023)

• Tool Learning with Foundation Models(April 2023.)

• One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era(April 2023)

• A Bibliometric Review of Large Language Models Research from 2017 to 2023(April 2023)

• A Survey of Large Language Models(April 2023)

• Nature Language Reasoning, A Survey(March 2023)

• Augmented Language Models: a Survey(Feb 2023)

• A Survey for In-context Learning(Dec 2022)

• Towards Reasoning in Large Language Models: A Survey(Dec 2022)

• Reasoning with Language Model Prompting: A Survey(Dec 2022)

• Emergent Abilities of Large Language Models(June 2022)

• A Taxonomy of Prompt Modifiers for Text-To-Image Generation(April 2022)

• Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing(June 2021)

Подходы

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• Focused Prefix Tuning for Controllable Text Generation (June 2023)

• Exploring Lottery Prompts for Pre-trained Language Models (May 2023)

• Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses (May 2023)

• Let's Verify Step by Step (May 2023)

• Universality and Limitations of Prompt Tuning (May 2023)

• MultiTool-CoT: GPT-3 Can Use Multiple External Tools with Chain of Thought Prompting (May 2023)

• PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents (May 2023)

• Reasoning with Language Model is Planning with World Model (May 2023)

• Self-Critique Prompting with Large Language Models for Inductive Instructions (May 2023)

• Better Zero-Shot Reasoning with Self-Adaptive Prompting (May 2023)

• Hierarchical Prompting Assists Large Language Model on Web Navigation (May 2023)

• Interactive Natural Language Processing (May 2023)

• Can We Edit Factual Knowledge by In-Context Learning? (May 2023)

• In-Context Learning of Large Language Models Explained as Kernel Regression (May 2023)

• Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models (May 2023)

• Meta-in-context learning in large language models (May 2023)

• Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning with LLMs (May 2023)

• Post Hoc Explanations of Language Models Can Improve Language Model (May 2023)

• Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable Prompt (May 2023)

• TreePrompt: Learning to Compose Tree Prompts for Explainable Visual Grounding (May 2023)

• TELeR: A General Taxonomy of LLM Prompts for Benchmarking Complex Tasks (May 2023)

• Efficient Prompting via Dynamic In-Context Learning (May 2023)

• The Web Can Be Your Oyster for Improving Large Language Models (May 2023)

• Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency (May 2023)

• Tree of Thoughts: Deliberate Problem Solving with Large Language Models (May 2023)

• ZeroPrompt: Streaming Acoustic Encoders are Zero-Shot Masked LMs (May 2023)

• Chain-of-Symbol Prompting Elicits Planning in Large Langauge Models (May 2023)

• CooK: Empowering General-Purpose Language Models with Modular and Collaborative Knowledge (May 2023)

• What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning (May 2023)

• Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling (May 2023)

• Satisfiability-Aided Language Models Using Declarative Prompting (May 2023)

• Pre-Training to Learn in Context (May 2023)

• Boosted Prompt Ensembles for Large Language Models (April 2023)

• Global Prompt Cell: A Portable Control Module for Effective Prompt (April 2023)

• Why think step-by-step? Reasoning emerges from the locality of experience (April 2023)

• Revisiting Automated Prompting: Are We Actually Doing Better? (April 2023)

• REFINER: Reasoning Feedback on Intermediate Representations (April 2023)

• Reflexion: an autonomous agent with dynamic memory and self-reflection (March 2023)

• CAMEL: Communicative Agents for "Mind" Exploration of Large Scale Language Model Society (Mar 2023)

• Self-Refine: Iterative Refinement with Self-Feedback (Mar 2023)

• kNN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference (Mar 2023)

• Visual-Language Prompt Tuning with Knowledge-guided Context Optimization (Mar 2023)

• Fairness-guided Few-shot Prompting for Large Language Models (Mar 2023)

• Context-faithful Prompting for Large Language Models (Mar 2023)

• Is Prompt All You Need? No. A Comprehensive and Broader View of Instruction Learning(opens in a new tab) (Mar 2023)

• UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation (Mar 2023)

• Model-tuning Via Prompts Makes NLP Models Adversarially Robust (Mar 2023)

• Structure Pretraining and Prompt Tuning for Knowledge Graph Transfer(opens in a new tab) (March 2023)

• CoTEVer: Chain of Thought Prompting Annotation Toolkit for Explanation Verification (March 2023)

• Larger language models do in-context learning differently (March 2023)

• OpenICL: An Open-Source Framework for In-context Learning (March 2023)

• Dynamic Prompting: A Unified Framework for Prompt Tuning (March 2023)

• Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning (March 2023)

• Effectiveness of Data Augmentation for Prefix Tuning with Limited Data (March 2023)

• Mixture of Soft Prompts for Controllable Data Generation (March 2023)

• Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners (March 2023)

• How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks (March 2023)

• Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT (Feb 2023)

• EvoPrompting: Language Models for Code-Level Neural Architecture Search (Feb 2023)

• In-Context Instruction Learning (Feb 2023)

• Chain of Hindsight Aligns Language Models with Feedback (Feb 2023)

• Language Is Not All You Need: Aligning Perception with Language Models (Feb 2023)

• Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data (Feb 2023)

• Active Prompting with Chain-of-Thought for Large Language Models(Feb 2023)

• More than you've asked for: A Comprehensive Analysis of Novel Prompt Injection Threats to Application-Integrated Large Language Models(Feb 2023)

• A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT (Feb 2023)

• Guiding Large Language Models via Directional Stimulus Prompting (Feb 2023)

• How Does In-Context Learning Help Prompt Tuning? (Feb 2023)

• Scalable Prompt Generation for Semi-supervised Learning with Language Models (Feb 2023)

• Bounding the Capabilities of Large Language Models in Open Text Generation with Prompt Constraints (Feb 2023)

• À-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable Prompting (Feb 2023)

• GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks (Feb 2023)

• The Capacity for Moral Self-Correction in Large Language Models (Feb 2023)

• SwitchPrompt: Learning Domain-Specific Gated Soft Prompts for Classification in Low-Resource Domains (Feb 2023)

• Evaluating the Robustness of Discrete Prompts (Feb 2023)

• Compositional Exemplars for In-context Learning (Feb 2023)

• Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery (Feb 2023)

• Multimodal Chain-of-Thought Reasoning in Language Models (Feb 2023)

• Large Language Models Can Be Easily Distracted by Irrelevant Context (Feb 2023)

• Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models (Feb 2023)

• Progressive Prompts: Continual Learning for Language Models (Jan 2023)

• Batch Prompting: Efficient Inference with LLM APIs (Jan 2023)

• Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP (Dec 2022)

• On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning (Dec 2022)

• Constitutional AI: Harmlessness from AI Feedback (Dec 2022)

• Successive Prompting for Decomposing Complex Questions (Dec 2022)

• Large Language Models are reasoners with Self-Verification (Dec 2022)

• Discovering Language Model Behaviors with Model-Written Evaluations (Dec 2022)

• Structured Prompting: Scaling In-Context Learning to 1,000 Examples (Dec 2022)

• PAL: Program-aided Language Models (Nov 2022)

• Large Language Models Are Human-Level Prompt Engineers (Nov 2022)

• Ignore Previous Prompt: Attack Techniques For Language Models (Nov 2022)

• Machine Generated Text: A Comprehensive Survey of Threat Models and Detection Methods (Nov 2022)

• Teaching Algorithmic Reasoning via In-context Learning (Nov 2022)

• Enhancing Self-Consistency and Performance of Pre-Trained Language Models through Natural Language Inference (Nov 2022)

• Ask Me Anything: A simple strategy for prompting language models (Oct 2022)

• Recitation-Augmented Language Models (Oct 2022)

• ReAct: Synergizing Reasoning and Acting in Language Models (Oct 2022)

• Prompting GPT-3 To Be Reliable (Oct 2022)

• Decomposed Prompting: A Modular Approach for Solving Complex Tasks (Oct 2022)

• Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought (Oct 2022)

• Evaluating the Susceptibility of Pre-Trained Language Models via Handcrafted Adversarial Examples (Sep 2022)

• Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning(Sep 2022)

• Promptagator: Few-shot Dense Retrieval From 8 Examples (Sep 2022)

• Atlas: Few-shot Learning with Retrieval Augmented Language Models (Nov 2022)

• DocPrompting: Generating Code by Retrieving the Docs (July 2022)

• On the Advance of Making Language Models Better Reasoners (June 2022)

• Large Language Models are Zero-Shot Reasoners (May 2022)

• Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations (May 2022)

• MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning (May 2022)

• PPT: Pre-trained Prompt Tuning for Few-shot Learning (Mqy 2022)

• Toxicity Detection with Generative Prompt-based Inference (May 2022)

• Learning to Transfer Prompts for Text Generation May 2022)

• The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning (May 2022)

• A Taxonomy of Prompt Modifiers for Text-To-Image Generation(opens in a new tab) (Apr 2022)

• PromptChainer: Chaining Large Language Model Prompts through Visual Programming(opens in a new tab) (Mar 2022)

• Self-Consistency Improves Chain of Thought Reasoning in Language Models (March 2022)

• Training language models to follow instructions with human feedback

• Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? (Feb 2022)

• Chain of Thought Prompting Elicits Reasoning in Large Language Models (Jan 2022)

• Show Your Work: Scratchpads for Intermediate Computation with Language Models (Nov 2021)

• AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts(Oct 2021)

• Generated Knowledge Prompting for Commonsense Reasoning(Oct 2021)

• Multitask Prompted Training Enables Zero-Shot Task Generalization (Oct 2021)

• Reframing Instructional Prompts to GPTk's Language (Sep 2021)

• Design Guidelines for Prompt Engineering Text-to-Image Generative Models (Sep 2021)

• Making Pre-trained Language Models Better Few-shot Learners(opens in a new tab) (Aug 2021)

• Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity (April 2021)

• BERTese: Learning to Speak to BERT (April 2021)

• The Power of Scale for Parameter-Efficient Prompt Tuning (April 2021)

• Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigmъ (Feb 2021)

• Calibrate Before Use: Improving Few-Shot Performance of Language Models (Feb 2021)

• Prefix-Tuning: Optimizing Continuous Prompts for Generation(Jan 2021)

• Learning to Generate Task-Specific Adapters from Task Description(Jan 2021)

• Making Pre-trained Language Models Better Few-shot Learners (Dec 2020)

• Learning from Task Descriptions(Nov 2020)

• AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts (Oct 2020)

• Language Models are Few-Shot Learners (May 2020)

• How Can We Know What Language Models Know?(July 2020)

• Scaling Laws for Neural Language Models (Jan 2020)

Применения

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• Interpretable Math Word Problem Solution Generation Via Step-by-step Planning (June 2023)

• In-Context Learning User Simulators for Task-Oriented Dialog Systems(June 2023)

• SQL-PaLM: Improved Large Language ModelAdaptation for Text-to-SQL(opens in a new tab) (June 2023)

• Effective Structured Prompting by Meta-Learning and Representative Verbalizer(June 2023)

• Layout and Task Aware Instruction Prompt for Zero-shot Document Image Question Answering (June 2023)

• Chain-Of-Thought Prompting Under Streaming Batch: A Case Study (June 2023)

• Red Teaming Language Model Detectors with Language Models (May 2023)

• Deliberate then Generate: Enhanced Prompting Framework for Text Generation (May 2023)

• What does the Failure to Reason with "Respectively" in Zero/Few-Shot Settings Tell Us about Language Models? (May 2023)

• ScoNe: Benchmarking Negation Reasoning in Language Models With Fine-Tuning and In-Context Learning (May 2023)

• SheetCopilot: Bringing Software Productivity to the Next Level through Large Language Models(May 2023)

• Grammar Prompting for Domain-Specific Language Generation with Large Language Models (May 2023)

• Mitigating Label Biases for In-context Learning (May 2023)

• Short Answer Grading Using One-shot Prompting and Text Similarity Scoring Model (May 2023)

• Strategic Reasoning with Language Models (May 2023)

• Dissecting Chain-of-Thought: A Study on Compositional In-Context Learning of MLPs (May 2023)

• Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models (May 2023)

• Leveraging Training Data in Few-Shot Prompting for Numerical Reasoning (May 2023)

• Exploring Effectiveness of GPT-3 in Grammatical Error Correction: A Study on Performance and Controllability in Prompt-Based Methods (May 2023)

• NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models (May 2023)

• Tab-CoT: Zero-shot Tabular Chain of Thought (May 2023)

• Evaluating GPT-3 Generated Explanations for Hateful Content Moderation (May 2023)

• Prompt-Guided Retrieval Augmentation for Non-Knowledge-Intensive Tasks (May 2023)

• [Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning]https://arxiv.org/abs/2305.17373) (May 2023)

• Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning Performance(May 2023)

• Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning (May 2023)

• Heterogeneous Value Evaluation for Large Language Models (May 2023)

• PromptNER: Prompt Locating and Typing for Named Entity Recognition(May 2023)

• Small Language Models Improve Giants by Rewriting Their Outputs (May 2023)

• On the Planning Abilities of Large Language Models -- A Critical Investigation (May 2023)

• Beyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Large Language Models (May 2023)

• PRODIGY: Enabling In-context Learning Over Graphs (May 2023)

• Large Language Models are Few-Shot Health Learners (May 2023)

• Role-Play with Large Language Models (May 2023)

• Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations (May 2023)

• Fact-Checking Complex Claims with Program-Guided Reasoning (May 2023)

• Large Language Models as Tool Makers (May 2023)

• Iterative Forward Tuning Boosts In-context Learning in Language Models (May 2023)

• SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks (May 2023)

• Interactive Natural Language Processing (May 2023)

• An automatically discovered chain-of-thought prompt generalizes to novel models and datasets (May 2023)

• Large Language Model Guided Tree-of-Thought (May 2023)

• Active Retrieval Augmented Generation (May 2023)

• A PhD Student's Perspective on Research in NLP in the Era of Very Large Language Models (May 2023)

• Visual Chain of Thought: Bridging Logical Gaps with Multimodal Infillings (May 2023)

• Mirages: On Anthropomorphism in Dialogue Systems (May 2023)

• Model evaluation for extreme risks (May 2023)

• Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting (May 2023)

• Cognitive Reframing of Negative Thoughts through Human-Language Model Interaction (May 2023)

• PromptClass: Weakly-Supervised Text Classification with Prompting Enhanced Noise-Robust Self-Training (May 2023)

• Augmented Large Language Models with Parametric Knowledge Guiding (May 2023)

• Aligning Large Language Models through Synthetic Feedback (May 2023)

• Concept-aware Training Improves In-context Learning Ability of Language Models (May 2023)

• FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance (May 2023)

• Enhancing Black-Box Few-Shot Text Classification with Prompt-Based Data Augmentation (May 2023)

• Detecting automatically the layout of clinical documents to enhance the performances of downstream natural language processing(opens in a new tab)-Thought Reasoning to Understanding Conversational Implicatures(opens in a new tab) (May 2023)

• Let's Think Frame by Frame: Evaluating Video Chain of Thought with Video Infilling and Prediction (May 2023)

• Generating Data for Symbolic Language with Large Language Models (May 2023)

• Make a Choice! Knowledge Base Question Answering with In-Context Learning (May 2023)

• Improving Language Models via Plug-and-Play Retrieval Feedback(May 2023)

• Multi-Granularity Prompts for Topic Shift Detection in Dialogue (May 2023)

• The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning (May 2023)

• Can Language Models Understand Physical Concepts? (May 2023)

• Evaluating Factual Consistency of Summaries with Large Language Models (May 2023)

• Dr.ICL: Demonstration-Retrieved In-context Learning (May 2023)

• Probing in Context: Toward Building Robust Classifiers via Probing Large Language Models (May 2023)

• Skill-Based Few-Shot Selection for In-Context Learning (May 2023)

• Exploring Chain-of-Thought Style Prompting for Text-to-SQL (May 2023)

• Enhancing Chat Language Models by Scaling High-quality Instructional Conversations (May 2023)

• On Learning to Summarize with Large Language Models as References (May 2023)

• Learning to Generate Novel Scientific Directions with Contextualized Literature-based Discovery (May 2023)

• Active Learning Principles for In-Context Learning with Large Language Models (May 2023)

• Two Failures of Self-Consistency in the Multi-Step Reasoning of LLMs (May 2023)

• Improving Factuality and Reasoning in Language Models through Multiagent Debate (May 2023)

• ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on\ Chat-based Large Language Models (May 2023)

• WikiChat: A Few-Shot LLM-Based Chatbot Grounded with Wikipedia (May 2023)

• Query Rewriting for Retrieval-Augmented Large Language Models (May 2023)

• Discrete Prompt Optimization via Constrained Generation for Zero-shot Re-ranker (May 2023)

• Element-aware Summarization with Large Language Models: Expert-aligned Evaluation and Chain-of-Thought Method (May 2023)

• Small Language Models Improve Giants by Rewriting Their Outputs (May 2023)

• Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration (May 2023)

• Prompt-Based Monte-Carlo Tree Search for Goal-Oriented Dialogue Policy Planning (May 2023)

• Mitigating Language Model Hallucination with Interactive Question-Knowledge Alignment (May 2023)

• Making Language Models Better Tool Learners with Execution Feedback (May 2023)

• Text-to-SQL Error Correction with Language Models of Code (May 2023)

• Decomposed Prompting for Machine Translation Between Related Languages using Large Language Models (May 2023)

• SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations (May 2023)

• "According to ..." Prompting Language Models Improves Quoting from Pre-Training Data (May 2023)

• Prompt-based methods may underestimate large language models' linguistic generalizations (May 2023)

• Chain of Knowledge: A Framework for Grounding Large Language Models with Structured Knowledge Bases (May 2023)

• Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations (May 2023)

• Automated Few-shot Classification with Instruction-Finetuned Language Models (May 2023)

• Enhancing Few-shot Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies (May 2023)

• MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction (May 2023)

• Learning Interpretable Style Embeddings via Prompting LLMs (May 2023)

• Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting (May 2023)

• Fact-Checking Complex Claims with Program-Guided Reasoning (May 2023)

• A Benchmark on Extremely Weakly Supervised Text Classification: Reconcile Seed Matching and Prompting Approaches (May 2023)

• This Prompt is Measuring <MASK>: Evaluating Bias Evaluation in Language Models (May 2023)

• Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer (May 2023)

• Evaluating Prompt-based Question Answering for Object Prediction in the Open Research Knowledge Graph (May 2023)

• Explaining How Transformers Use Context to Build Predictions(opens in a new tab) (May 2023)

• PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs (May 2023)

• PromptNER: A Prompting Method for Few-shot Named Entity Recognition via k Nearest Neighbor Search (May 2023)

• Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning (May 2023)

• Enhancing Few-shot NER with Prompt Ordering based Data Augmentation (May 2023)

• Chain-of-thought prompting for responding to in-depth dialogue questions with LLM (May 2023)

• How to Prompt LLMs for Text-to-SQL: A Study in Zero-shot, Single-domain, and Cross-domain Settings (May 2023)

• Evaluation of medium-large Language Models at zero-shot closed book generative question answering (May 2023)

• Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer (May 2023)

• Can NLP Models Correctly Reason Over Contexts that Break the Common Assumptions? (May 2023)

• Reasoning Implicit Sentiment with Chain-of-Thought Prompting (May 2023)

• Writing your own book: A method for going from closed to open book QA to improve robustness and performance of smaller LLMs (May 2023)

• AutoTrial: Prompting Language Models for Clinical Trial Design (May 2023)

• CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing (May 2023)

• Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning= (May 2023)

• Prompting with Pseudo-Code Instructions (May 2023)

• TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models (May 2023)

• Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors= (May 2023)

• Exploiting Biased Models to De-bias Text: A Gender-Fair Rewriting Model (May 2023)

• Learning In-context Learning for Named Entity Recognition (May 2023)

• Take a Break in the Middle: Investigating Subgoals towards Hierarchical Script Generation (May 2023)

• TEPrompt: Task Enlightenment Prompt Learning for Implicit Discourse Relation Recognition (May 2023)

• Large Language Models can be Guided to Evade AI-Generated Text Detection (May 2023)

• Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning (May 2023)

• Prompting the Hidden Talent of Web-Scale Speech Models for Zero-Shot Task Generalization (May 2023)

• Think Outside the Code: Brainstorming Boosts Large Language Models in Code Generation (May 2023)

• Improving Language Model Negotiation with Self-Play and In-Context Learning from AI Feedback (May 2023)

• ConvXAI: Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific Writing (May 2023)

• StructGPT: A General Framework for Large Language Model to Reason over Structured Data (May 2023)

• Towards Expert-Level Medical Question Answering with Large Language Models (May 2023)

• Large Language Models are Built-in Autoregressive Search Engines (May 2023)

• MsPrompt: Multi-step Prompt Learning for Debiasing Few-shot Event Detection (May 2023)

• Exploring the Impact of Layer Normalization for Zero-shot Neural Machine Translation (May 2023)

• SGP-TOD: Building Task Bots Effortlessly via Schema-Guided LLM Prompting (May 2023)

• Multi-modal Visual Understanding with Prompts for Semantic Information Disentanglement of Image (May 2023)

• Soft Prompt Decoding for Multilingual Dense Retrieval (May 2023)

• PaLM 2 Technical Report (May 2023)

• Are LLMs All You Need for Task-Oriented Dialogue? (April 2023)

• HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting (April 2023)

• Approximating Human Evaluation of Social Chatbots with Prompting (April 2023)

• Automated Reading Passage Generation with OpenAI's Large Language Model (April 2023)

• WebBrain: Learning to Generate Factually Correct Articles for Queries by Grounding on Large Web Corpus (April 2023)

• Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition (April 2023)

• GPT detectors are biased against non-native English writers (April 2023)

• Zero-Shot Next-Item Recommendation using Large Pretrained Language Models (April 2023)

• Large Language Models as Master Key: Unlocking the Secrets of Materials Science with GPT (April 2023)

• Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning (April 2023)

• Better Language Models of Code through Self-Improvement (April 2023)

• PromptORE -- A Novel Approach Towards Fully Unsupervised Relation Extraction (April)

• Assessing Language Model Deployment with Risk Cards (April 2023)

• Enhancing Large Language Models with Climate Resources (March 2023)

• BloombergGPT: A Large Language Model for Finance (March 2023)

• Medical Intervention Duration Estimation Using Language-enhanced Transformer Encoder with Medical Prompts (March 2023)

• Soft-prompt tuning to predict lung cancer using primary care free-text Dutch medical notes (March 2023)

• TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs (March 2023)

• Larger Probes Tell a Different Story: Extending Psycholinguistic Datasets Via In-Context Learning (March 2023)

• Linguistically Informed ChatGPT Prompts to Enhance Japanese-Chinese Machine Translation: A Case Study on Attributive Clauses(March 2023)

• Knowledge-augmented Frame Semantic Parsing with Hybrid Prompt-tuning (March 2023)

• Debiasing Scores and Prompts of 2D Diffusion for Robust Text-to-3D Generation(March 2023)

• Zero-shot Model Diagnosis (March 2023)

• Prompting Large Language Models to Generate Code-Mixed Texts: The Case of South East Asian Languages (March 2023)

• SPeC: A Soft Prompt-Based Calibration on Mitigating Performance Variability in Clinical Notes Summarization (March 2023)

• Large Language Models and Simple, Stupid Bugs (March 2023)

• Can Generative Pre-trained Transformers (GPT) Pass Assessments in Higher Education Programming Courses? (Mar 2023)

• SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models (Mar 2023)

• Large Language Models in the Workplace: A Case Study on Prompt Engineering for Job Type Classification (March 2023)

• ICL-D3IE: In-Context Learning with Diverse Demonstrations Updating for Document Information Extraction (March 2023)

• MathPrompter: Mathematical Reasoning using Large Language Models (March 2023)

• Prompt-Based Learning for Thread Structure Prediction in Cybersecurity Forums (March 2023)

• Choice Over Control: How Users Write with Large Language Models using Diegetic and Non-Diegetic Prompting (March 2023)

• Prompting Large Language Models with Answer Heuristics for Knowledge-based Visual Question Answering (March 2023)

• Soft Prompt Guided Joint Learning for Cross-Domain Sentiment Analysis

• SpeechPrompt v2: Prompt Tuning for Speech Classification Tasks (March 2023)

• Goal Driven Discovery of Distributional Differences via Language Descriptions (Feb 2023)

• Navigating the Grey Area: Expressions of Overconfidence and Uncertainty in Language Models (Feb 2023)

• TabGenie: A Toolkit for Table-to-Text Generation (Feb 2023)

• SGL-PT: A Strong Graph Learner with Graph Prompt Tuning (Feb 2023)

• Few-Shot Table-to-Text Generation with Prompt-based Adapter (Feb 2023)

• Language Models Are Few-shot Learners for Prognostic Prediction (Feb 2023)

• STA: Self-controlled Text Augmentation for Improving Text Classifications (Feb 2023)

• Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback (Feb 2023)

• How Generative AI models such as ChatGPT can be (Mis)Used in SPC Practice, Education, and Research? An Exploratory Study (Feb 2023)

• Grimm in Wonderland: Prompt Engineering with Midjourney to Illustrate Fairytales (Feb 2023)

• LabelPrompt: Effective Prompt-based Learning for Relation Classification(opens in a new tab) (Feb 2023)

• Language Model Crossover: Variation through Few-Shot Prompting (Feb 2023)

• Prompt Tuning of Deep Neural Networks for Speaker-adaptive Visual Speech Recognition (Feb 2023)

• The Capacity for Moral Self-Correction in Large Language Models (Feb 2023)

• Prompting for Multimodal Hateful Meme Classification (Feb 2023)

• PLACES: Prompting Language Models for Social Conversation Synthesis (Feb 2023)

• Commonsense-Aware Prompting for Controllable Empathetic Dialogue Generation (Feb 2023)

• Crawling the Internal Knowledge-Base of Language Models(Jan 2023)

• Legal Prompt Engineering for Multilingual Legal Judgement Prediction (Dec 2022)

• Investigating Prompt Engineering in Diffusion Models (Nov 2022)

• Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering (Sep 2022)

• Conversing with Copilot: Exploring Prompt Engineering for Solving CS1 Problems Using Natural Language (Oct 2022)

• Piloting Copilot and Codex: Hot Temperature, Cold Prompts, or Black Magic? (Oct 2022)

• Plot Writing From Scratch Pre-Trained Language Models (July 2022)

• Survey of Hallucination in Natural Language Generation (Feb 2022)

Коллекции

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• Chain-of-Thought Papers

• Papers with Code

• Prompt Papers