Foundation Models

REPLUG: Retrieval-Augmented Black-Box Language Models NAACL 2024 RepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generation EMNLP 2024 Re-Reading Improves Reasoning in Large Language Models EMNLP 2024 Resolving Discrepancies in Compute-Optimal Scaling of Language Models NeurIPS 2024 Resonance RoPE: Improving Context Length Generalization of Large Language Models ACL 2024 RESPROMPT: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models NAACL 2024 ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search NeurIPS 2024 ReTA: Recursively Thinking Ahead to Improve the Strategic Reasoning of Large Language Models NAACL 2024 Rethinking Code Refinement: Learning to Judge Code Efficiency EMNLP 2024 Rethinking Tabular Data Understanding with Large Language Models NAACL 2024 Rethinking the Evaluation of In-Context Learning for LLMs EMNLP 2024 Rethinking the Reversal Curse of LLMs: a Prescription from Human Knowledge Reversal EMNLP 2024 Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models NeurIPS 2024 Retrieval-Augmented Diffusion Models for Time Series Forecasting NeurIPS 2024 Retrieve, Generate, Evaluate: A Case Study for Medical Paraphrases Generation with Small Language Models ACL 2024 Re-Tuning: Overcoming the Compositionality Limits of Large Language Models with Recursive Tuning ACL 2024 RETUYT-INCO at MLSP 2024: Experiments on Language Simplification using Embeddings, Classifiers and Large Language Models NAACL 2024 Revealing the Parallel Multilingual Learning within Large Language Models EMNLP 2024 Revisiting Few-Shot Object Detection with Vision-Language Models NeurIPS 2024 Revisiting Parallel Context Windows: A Frustratingly Simple Alternative and Chain-of-Thought Deterioration ACL 2024 Revisiting subword tokenization: A case study on affixal negation in large language models NAACL 2024 Revisiting the Self-Consistency Challenges in Multi-Choice Question Formats for Large Language Model Evaluation COLING 2024 Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment ICML 2024 Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models ICML 2024 RingAttention with Blockwise Transformers for Near-Infinite Context ICLR 2024