Papers
LLM-REDIAL: A Large-Scale Dataset for Conversational Recommender Systems Created from User Behaviors with LLMs
Tingting Liang, Chenxin Jin, Lingzhi Wang et al.
Automatic Bug Detection in LLM-Powered Text-Based Games Using LLMs
Claire Jin, Sudha Rao, Xiangyu Peng et al.
LLMCO4MR: LLMs-aided Neural Combinatorial Optimization for Ancient Manuscript Restoration from Fragments with Case Studies on Dunhuang
Yuqing Zhang, Hangqi Li, Shengyu Zhang et al.
LLMEdgeRefine: Enhancing Text Clustering with LLM-Based Boundary Point Refinement
Zijin Feng, Luyang Lin, Lingzhi Wang et al.
Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment
Vyas Raina, Adian Liusie, Mark Gales
LLM-Evolve: Evaluation for LLM’s Evolving Capability on Benchmarks
Jiaxuan You, Mingjie Liu, Shrimai Prabhumoye et al.
LLM-as-a-tutor in EFL Writing Education: Focusing on Evaluation of Student-LLM Interaction
Jieun Han, Haneul Yoo, Junho Myung et al.
LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation
Suhyeon Lee, Won Jun Kim, Jinho Chang et al.
SG-Nav: Online 3D Scene Graph Prompting for LLM-based Zero-shot Object Navigation
Hang Yin, Xiuwei Xu, Zhenyu Wu et al.
Can Graph Learning Improve Planning in LLM-based Agents?
Xixi Wu, Yifei Shen, Caihua Shan et al.
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings
Duo Wang, Yuan Zuo, Fengzhi Li et al.
LLM-based Skill Diffusion for Zero-shot Policy Adaptation
Woo Kyung Kim, Youngseok Lee, Jooyoung Kim et al.
LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation
Qidong Liu, Xian Wu, Yejing Wang et al.
LLM-Check: Investigating Detection of Hallucinations in Large Language Models
Gaurang Sriramanan, Siddhant Bharti, Vinu Sankar Sadasivan et al.
Web-Scale Visual Entity Recognition: An LLM-Driven Data Approach
Mathilde Caron, Alireza Fathi, Cordelia Schmid et al.
MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution
Wei Tao, Yucheng Zhou, Yanlin Wang et al.
From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection
Xinlei Wang, Maike Feng, Jing Qiu et al.
LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems
Pengkun Wang, Zhe Zhao, Haibin Wen et al.
Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation
Sahar Abdelnabi, Amr Gomaa, Sarath Sivaprasad et al.
DetectRL: Benchmarking LLM-Generated Text Detection in Real-World Scenarios
Junchao Wu, Runzhe Zhan, Derek F. Wong et al.
Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents
Wenkai Yang, Xiaohan Bi, Yankai Lin et al.
Tri-Level Navigator: LLM-Empowered Tri-Level Learning for Time Series OOD Generalization
Chengtao Jian, Kai Yang, Yang Jiao
Richelieu: Self-Evolving LLM-Based Agents for AI Diplomacy
Zhenyu Guan, Xiangyu Kong, Fangwei Zhong et al.
Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks
Yingpeng Du, Di Luo, Rui Yan et al.
FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering
Zhenyu Li, Sunqi Fan, Yu Gu et al.