large language model

Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation ACL 2024 Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering EMNLP 2024 EVIT: Event-Oriented Instruction Tuning for Event Reasoning ACL 2024 EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations NeurIPS 2024 EvoGrad: A Dynamic Take on the Winograd Schema Challenge with Human Adversaries COLING 2024 Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author Prompt Editing ICLR 2024 Evolutionary Contrastive Distillation for Language Model Alignment EMNLP 2024 Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model ICML 2024 Evolving Knowledge Distillation with Large Language Models and Active Learning COLING 2024 Evolving Subnetwork Training for Large Language Models ICML 2024 EvoR: Evolving Retrieval for Code Generation EMNLP 2024 Ex3: Automatic Novel Writing by Extracting, Excelsior and Expanding ACL 2024 ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking ICML 2024 Executing Natural Language-Described Algorithms with Large Language Models: An Investigation COLING 2024 Expedited Training of Visual Conditioned Language Generation via Redundancy Reduction ACL 2024 Experience as Source for Anticipation and Planning: Experiential Policy Learning for Target-driven Recommendation Dialogues EMNLP 2024 Experiential Co-Learning of Software-Developing Agents ACL 2024 Experimental versus In-Corpus Variation in Referring Expression Choice COLING 2024 Experimenting with Transformer-based and Large Language Models for Classifying Effects of Outdoor Spaces on Social Anxiety in Social Media Data ACL 2024 Experiments in Automated Generation of Discharge Summaries in Italian COLING 2024 ExpertEase: A Multi-Agent Framework for Grade-Specific Document Simplification with Large Language Models EMNLP 2024 Explainable Depression Detection Using Large Language Models on Social Media Data EACL 2024 Explaining and Improving Contrastive Decoding by Extrapolating the Probabilities of a Huge and Hypothetical LM EMNLP 2024 Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective on Molecule Graphs EMNLP 2024 Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning ACL 2024