large language model

Reference-Free Summarization Evaluation with Large Language Models AACL 2023 RefGPT: Dialogue Generation of GPT, by GPT, and for GPT EMNLP 2023 REFLECT: Summarizing Robot Experiences for Failure Explanation and Correction CoRL 2023 Reflexion: language agents with verbal reinforcement learning NeurIPS 2023 ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval ACL 2023 Reimagining Retrieval Augmented Language Models for Answering Queries ACL 2023 Reliability Check: An Analysis of GPT-3’s Response to Sensitive Topics and Prompt Wording ACL 2023 ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction EMNLP 2023 Remember what you did so you know what to do next EMNLP 2023 Repair Is Nearly Generation: Multilingual Program Repair with LLMs AAAI 2023 Repository-Level Prompt Generation for Large Language Models of Code ICML 2023 Representative Demonstration Selection for In-Context Learning with Two-Stage Determinantal Point Process EMNLP 2023 Resolving Indirect Referring Expressions for Entity Selection ACL 2023 Respectful or Toxic? Using Zero-Shot Learning with Language Models to Detect Hate Speech ACL 2023 Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline NeurIPS 2023 Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models EMNLP 2023 Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale ACL 2023 Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression EMNLP 2023 Retrieving Multimodal Information for Augmented Generation: A Survey EMNLP 2023 RETUYT-InCo at BEA 2023 Shared Task: Tuning Open-Source LLMs for Generating Teacher Responses ACL 2023 Reviewriter: AI-Generated Instructions For Peer Review Writing ACL 2023 Revisiting Automated Prompting: Are We Actually Doing Better? ACL 2023 Revisiting Automated Topic Model Evaluation with Large Language Models EMNLP 2023 Revisiting Block-based Quantisation: What is Important for Sub-8-bit LLM Inference? EMNLP 2023 Revisiting Instruction Fine-tuned Model Evaluation to Guide Industrial Applications EMNLP 2023