Papers
Evaluation of LLM Vulnerabilities to Being Misused for Personalized Disinformation Generation
Aneta Zugecova, Dominik Macko, Ivan Srba et al.
LACA: Improving Cross-lingual Aspect-Based Sentiment Analysis with LLM Data Augmentation
Jakub Šmíd, Pavel Priban, Pavel Kral
EvoWiki: Evaluating LLMs on Evolving Knowledge
Wei Tang, Yixin Cao, Yang Deng et al.
Rethinking Repetition Problems of LLMs in Code Generation
Yihong Dong, Yuchen Liu, Xue Jiang et al.
PsyDT: Using LLMs to Construct the Digital Twin of Psychological Counselor with Personalized Counseling Style for Psychological Counseling
Haojie Xie, Yirong Chen, Xiaofen Xing et al.
Cuckoo: An IE Free Rider Hatched by Massive Nutrition in LLM’s Nest
Letian Peng, Zilong Wang, Feng Yao et al.
HALoGEN: Fantastic LLM Hallucinations and Where to Find Them
Abhilasha Ravichander, Shrusti Ghela, David Wadden et al.
Synergizing LLMs with Global Label Propagation for Multimodal Fake News Detection
Shuguo Hu, Jun Hu, Huaiwen Zhang
Wait, that’s not an option: LLMs Robustness with Incorrect Multiple-Choice Options
Gracjan Góral, Emilia Wiśnios, Piotr Sankowski et al.
On the Mutual Influence of Gender and Occupation in LLM Representations
Haozhe An, Connor Baumler, Abhilasha Sancheti et al.
Self-Instructed Derived Prompt Generation Meets In-Context Learning: Unlocking New Potential of Black-Box LLMs
Zhuo Li, Yuhao Du, Jinpeng Hu et al.
UnSeenTimeQA: Time-Sensitive Question-Answering Beyond LLMs’ Memorization
Md Nayem Uddin, Amir Saeidi, Divij Handa et al.
From Information to Insight: Leveraging LLMs for Open Aspect-Based Educational Summarization
Yang Zhong, Diane Litman
Root Defense Strategies: Ensuring Safety of LLM at the Decoding Level
Xinyi Zeng, Yuying Shang, Jiawei Chen et al.
Second Language (Arabic) Acquisition of LLMs via Progressive Vocabulary Expansion
Jianqing Zhu, Huang Huang, Zhihang Lin et al.
What Really Matters in Many-Shot Attacks? An Empirical Study of Long-Context Vulnerabilities in LLMs
Sangyeop Kim, Yohan Lee, Yongwoo Song et al.
Bias in the Mirror : Are LLMs opinions robust to their own adversarial attacks
Virgile Rennard, Christos Xypolopoulos, Michalis Vazirgiannis
When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations
Huaizhi Ge, Yiming Li, Qifan Wang et al.
LegalAgentBench: Evaluating LLM Agents in Legal Domain
Haitao Li, Junjie Chen, Jingli Yang et al.
Less for More: Enhanced Feedback-aligned Mixed LLMs for Molecule Caption Generation and Fine-Grained NLI Evaluation
Dimitris Gkoumas, Maria Liakata
LADM: Long-context Training Data Selection with Attention-based Dependency Measurement for LLMs
Jianghao Chen, Junhong Wu, Yangyifan Xu et al.
Refuse Whenever You Feel Unsafe: Improving Safety in LLMs via Decoupled Refusal Training
Youliang Yuan, Wenxiang Jiao, Wenxuan Wang et al.
Token Prepending: A Training-Free Approach for Eliciting Better Sentence Embeddings from LLMs
Yuchen Fu, Zifeng Cheng, Zhiwei Jiang et al.
Taming LLMs with Gradient Grouping
Siyuan Li, Juanxi Tian, Zedong Wang et al.
Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the Above
Nishant Balepur, Rachel Rudinger, Jordan Lee Boyd-Graber