Large Language Models

Empirical Analysis of Dialogue Relation Extraction with Large Language Models IJCAI 2024 Empowering and Assessing the Utility of Large Language Models in Crop Science NeurIPS 2024 Empowering cross-lingual abilities of instruction-tuned large language models by translation-following demonstrations ACL 2024 Empowering Large Language Model for Continual Video Question Answering with Collaborative Prompting EMNLP 2024 Empowering Large Language Models for Textual Data Augmentation ACL 2024 Empowering Multi-step Reasoning across Languages via Program-Aided Language Models EMNLP 2024 Emulating Author Style: A Feasibility Study of Prompt-enabled Text Stylization with Off-the-Shelf LLMs EACL 2024 Encoding Spreadsheets for Large Language Models EMNLP 2024 Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective EMNLP 2024 End-To-End Causal Effect Estimation from Unstructured Natural Language Data NeurIPS 2024 Enhanced Language Model Truthfulness with Learnable Intervention and Uncertainty Expression ACL 2024 Enhancing Advanced Visual Reasoning Ability of Large Language Models EMNLP 2024 Enhancing Alignment using Curriculum Learning & Ranked Preferences EMNLP 2024 Enhancing Domain Adaptation through Prompt Gradient Alignment NeurIPS 2024 Enhancing High-order Interaction Awareness in LLM-based Recommender Model EMNLP 2024 Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective NeurIPS 2024 Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding EMNLP 2024 Enhancing Large Language Model Based Sequential Recommender Systems with Pseudo Labels Reconstruction EMNLP 2024 Enhancing LLM Capabilities Beyond Scaling Up EMNLP 2024 Enhancing LLM Reasoning via Vision-Augmented Prompting NeurIPS 2024 Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich Languages ACL 2024 Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control NeurIPS 2024 Enhancing Post-Hoc Attributions in Long Document Comprehension via Coarse Grained Answer Decomposition EMNLP 2024 Enhancing Reasoning Capabilities of LLMs via Principled Synthetic Logic Corpus NeurIPS 2024 Enhancing Reinforcement Learning with Dense Rewards from Language Model Critic EMNLP 2024