Papers
Re-Reading Improves Reasoning in Large Language Models
Xiaohan Xu, Chongyang Tao, Tao Shen et al.
Re-ReST: Reflection-Reinforced Self-Training for Language Agents
Zi-Yi Dou, Cheng-Fu Yang, Xueqing Wu et al.
Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes
Yusuke Hirota, Jerone Andrews, Dora Zhao et al.
Resilience of Large Language Models for Noisy Instructions
Bin Wang, Chengwei Wei, Zhengyuan Liu et al.
RESTful-Llama: Connecting User Queries to RESTful APIs
Han Xu, Ruining Zhao, Jindong Wang et al.
Results of the WAT/WMT 2024 Shared Task on Patent Translation
Shohei Higashiyama
RETAIN: Interactive Tool for Regression Testing Guided LLM Migration
Tanay Dixit, Daniel Lee, Sally Fang et al.
Rethinking Code Refinement: Learning to Judge Code Efficiency
Minju Seo, Jinheon Baek, Sung Ju Hwang
Rethinking Evaluation Methods for Machine Unlearning
Leon Wichert, Sandipan Sikdar
Rethinking Legal Judgement Prediction in a Realistic Scenario in the Era of Large Language Models
Shubham Kumar Nigam, Aniket Deroy, Subhankar Maity et al.
Rethinking Pragmatics in Large Language Models: Towards Open-Ended Evaluation and Preference Tuning
Shengguang Wu, Shusheng Yang, Zhenglun Chen et al.
Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization
Sungbin Shin, Wonpyo Park, Jaeho Lee et al.
Rethinking the Evaluation of In-Context Learning for LLMs
Guoxin Yu, Lemao Liu, Mo Yu et al.
Rethinking the Reversal Curse of LLMs: a Prescription from Human Knowledge Reversal
Zhicong Lu, Li Jin, Peiguang Li et al.
Rethinking the Role of Proxy Rewards in Language Model Alignment
Sungdong Kim, Minjoon Seo
Rethinking Token Reduction for State Space Models
Zheng Zhan, Yushu Wu, Zhenglun Kong et al.
[RETRACTED] Vikhr: Constructing a State-of-the-art Bilingual Open-Source Instruction-Following Large Language Model for Russian
Aleksandr Nikolich, Konstantin Korolev, Sergei Bratchikov et al.
Retrieval and Reasoning on KGs: Integrate Knowledge Graphs into Large Language Models for Complex Question Answering
Yixin Ji, Kaixin Wu, Juntao Li et al.
Retrieval-Augmented Code Generation for Situated Action Generation: A Case Study on Minecraft
Chalamalasetti Kranti, Sherzod Hakimov, David Schlangen
Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach
Zhuowan Li, Cheng Li, Mingyang Zhang et al.
Retrieval Augmented Spelling Correction for E-Commerce Applications
Xuan Guo, Rohit Patki, Dante Everaert et al.
Retrieval-enriched zero-shot image classification in low-resource domains
Nicola Dall’Asen, Yiming Wang, Enrico Fini et al.
Retrieval Evaluation for Long-Form and Knowledge-Intensive Image–Text Article Composition
Jheng-Hong Yang, Carlos Lassance, Rafael S. Rezende et al.
Retrieved In-Context Principles from Previous Mistakes
Hao Sun, Yong Jiang, Bo Wang et al.
Retrieved Sequence Augmentation for Protein Representation Learning
Chang Ma, Haiteng Zhao, Lin Zheng et al.