Large Language Models

A Construction Grammar Corpus of Varying Schematicity: A Dataset for the Evaluation of Abstractions in Language Models COLING 2024 A Continued Pretrained LLM Approach for Automatic Medical Note Generation NAACL 2024 A Critical Evaluation of AI Feedback for Aligning Large Language Models NeurIPS 2024 Active Prompting with Chain-of-Thought for Large Language Models ACL 2024 ACUEval: Fine-grained Hallucination Evaluation and Correction for Abstractive Summarization ACL 2024 Ada-LEval: Evaluating long-context LLMs with length-adaptable benchmarks NAACL 2024 Adaptation Odyssey in LLMs: Why Does Additional Pretraining Sometimes Fail to Improve? EMNLP 2024 AdaptEval: Evaluating Large Language Models on Domain Adaptation for Text Summarization EMNLP 2024 Adapting LLM Predictions in In-Context Learning with Data Priors EMNLP 2024 Adapting LLMs for Structured Natural Language API Integration EMNLP 2024 Adaptive Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimization EMNLP 2024 Adaptive Query Rewriting: Aligning Rewriters through Marginal Probability of Conversational Answers EMNLP 2024 AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning EMNLP 2024 Ad Auctions for LLMs via Retrieval Augmented Generation NeurIPS 2024 Addressing Healthcare-related Racial and LGBTQ+ Biases in Pretrained Language Models NAACL 2024 A decoder-only foundation model for time-series forecasting ICML 2024 A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques ACL 2024 Advancing Cross-Lingual Entity Alignment with Large Language Models: Tailored Sample Segmentation and Zero-Shot Prompts EMNLP 2024 Advancing Generative AI for Portuguese with Open Decoder Gervásio PT* COLING 2024 Advancing Large Language Model Attribution through Self-Improving EMNLP 2024 Advancing Large Language Models to Capture Varied Speaking Styles and Respond Properly in Spoken Conversations ACL 2024 Advancing Tool-Augmented Large Language Models: Integrating Insights from Errors in Inference Trees NeurIPS 2024 Adversarial Preference Optimization: Enhancing Your Alignment via RM-LLM Game ACL 2024 Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models NeurIPS 2024 AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators ACL 2024