Papers
Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLMs-Powered Assistance
Bo Yuan, Yulin Chen, Yin Zhang et al.
From Model-centered to Human-Centered: Revision Distance as a Metric for Text Evaluation in LLMs-based Applications
Yongqiang Ma, Lizhi Qing, Jiawei Liu et al.
On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey
Lin Long, Rui Wang, Ruixuan Xiao et al.
Submodular-based In-context Example Selection for LLMs-based Machine Translation
Baijun Ji, Xiangyu Duan, Zhenyu Qiu et al.
LTGC: Long-tail Recognition via Leveraging LLMs-driven Generated Content
Qihao Zhao, Yalun Dai, Hao Li 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.
A Survey on Detection of LLMs-Generated Content
Xianjun Yang, Liangming Pan, Xuandong Zhao et al.
LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement
Jiahao Ying, Mingbao Lin, Yixin Cao et al.
On scalable oversight with weak LLMs judging strong LLMs
Zachary Kenton, Noah Y. Siegel, János Kramár et al.
Can LLMs Learn from Previous Mistakes? Investigating LLMs’ Errors to Boost for Reasoning
Yongqi Tong, Dawei Li, Sizhe Wang et al.
Can LLMs Reason with Rules? Logic Scaffolding for Stress-Testing and Improving LLMs
Siyuan Wang, Zhongyu Wei, Yejin Choi et al.
How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs
Yi Zeng, Hongpeng Lin, Jingwen Zhang et al.
Can LLMs substitute SQL? Comparing Resource Utilization of Querying LLMs versus Traditional Relational Databases
Xiang Zhang, Khatoon Khedri, Reza Rawassizadeh
LLMs Beyond English: Scaling the Multilingual Capability of LLMs with Cross-Lingual Feedback
Wen Lai, Mohsen Mesgar, Alexander Fraser
When Do LLMs Need Retrieval Augmentation? Mitigating LLMs’ Overconfidence Helps Retrieval Augmentation
Shiyu Ni, Keping Bi, Jiafeng Guo et al.
Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements
Ming Li, Jiuhai Chen, Lichang Chen et al.
Can LLMs get help from other LLMs without revealing private information?
Florian Hartmann, Duc-Hieu Tran, Peter Kairouz et al.
Do LLMs Recognize me, When I is not me: Assessment of LLMs Understanding of Turkish Indexical Pronouns in Indexical Shift Contexts
Metehan Oğuz, Yusuf Ciftci, Yavuz Faruk Bakman
ASOS at Arabic LLMs Hallucinations 2024: Can LLMs detect their Hallucinations :)
Serry Taiseer Sibaee, Abdullah I. Alharbi, Samar Ahmed et al.
Can LLMs replace Neil deGrasse Tyson? Evaluating the Reliability of LLMs as Science Communicators
Prasoon Bajpai, Niladri Chatterjee, Subhabrata Dutta et al.
Do LLMs Plan Like Human Writers? Comparing Journalist Coverage of Press Releases with LLMs
Alexander Spangher, Nanyun Peng, Sebastian Gehrmann et al.
Are LLMs Effective Negotiators? Systematic Evaluation of the Multifaceted Capabilities of LLMs in Negotiation Dialogues
Deuksin Kwon, Emily Weiss, Tara Kulshrestha et al.
Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs
Miao Xiong, Zhiyuan Hu, Xinyang Lu et al.
Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs?
Kai Sun, Yifan Xu, Hanwen Zha et al.
The Colorful Future of LLMs: Evaluating and Improving LLMs as Emotional Supporters for Queer Youth
Shir Lissak, Nitay Calderon, Geva Shenkman et al.