Papers
HEAL: Hybrid Enhancement with LLM-based Agents for Text-attributed Hypergraph Self-supervised Representation Learning
Ruochang Li, Xiao Luo, Zhiping Xiao et al.
Investigating Controversy Framing across Topics on Social Media
Maxwell Weinzierl, Sanda M. Harabagiu
Explaining Length Bias in LLM-Based Preference Evaluations
Zhengyu Hu, Linxin Song, Jieyu Zhang et al.
Self-Correction Makes LLMs Better Parsers
Ziyan Zhang, Yang Hou, Chen Gong et al.
A Comprehensive Survey on the Trustworthiness of Large Language Models in Healthcare
Manar Aljohani, Jun Hou, Sindhura Kommu et al.
Train Once for All: A Transitional Approach for Efficient Aspect Sentiment Triplet Extraction
Xinmeng Hou, Lingyue Fu, Chenhao Meng et al.
Jailbreak Attack Initializations as Extractors of Compliance Directions
Amit LeVi, Rom Himelstein, Yaniv Nemcovsky et al.
Is Safety Standard Same for Everyone? User-Specific Safety Evaluation of Large Language Models
Yeonjun In, Wonjoong Kim, Kanghoon Yoon et al.
A Knapsack by Any Other Name: Presentation impacts LLM performance on NP-hard problems
Alex Duchnowski, Ellie Pavlick, Alexander Koller
Chatbot To Help Patients Understand Their Health
Won Seok Jang, Hieu Tran, Manav Shaileshkumar Mistry et al.
MedCOD: Enhancing English-to-Spanish Medical Translation of Large Language Models Using Enriched Chain-of-Dictionary Framework
Md Shahidul Salim, Lian Fu, Arav Adikesh Ramakrishnan et al.
Bridging the Dynamic Perception Gap: Training-Free Draft Chain-of-Thought for Dynamic Multimodal Spatial Reasoning
Siqu Ou, Hongcheng Liu, Pingjie Wang et al.
LUME: LLM Unlearning with Multitask Evaluations
Anil Ramakrishna, Yixin Wan, Xiaomeng Jin et al.
When Inverse Data Outperforms: Exploring the Pitfalls of Mixed Data in Multi-Stage Fine-Tuning
Mengyi Deng, Xin Li, Tingyu Zhu et al.
SIFT: Grounding LLM Reasoning in Contexts via Stickers
Zihao Zeng, Xuyao Huang, Boxiu Li et al.
The Face of Persuasion: Analyzing Bias and Generating Culture-Aware Ads
Aysan Aghazadeh, Adriana Kovashka
Enhancing Multi-Agent Debate System Performance via Confidence Expression
Zijie Lin, Bryan Hooi
Beyond Single Frames: Can LMMs Comprehend Implicit Narratives in Comic Strip?
Xiaochen Wang, Heming Xia, Jialin Song et al.
Can LLMs Find a Needle in a Haystack? A Look at Anomaly Detection Language Modeling
Leslie Barrett, Vikram Sunil Bajaj, Robert John Kingan
Alleviating Performance Degradation Caused by Out-of-Distribution Issues in Embedding-Based Retrieval
Haotong Bao, Jianjin Zhang, Qi Chen et al.
Where Did That Come From? Sentence-Level Error-Tolerant Attribution
Ori Ernst, Aviv Slobodkin, Meng Cao et al.
Understanding Refusal in Language Models with Sparse Autoencoders
Wei Jie Yeo, Nirmalendu Prakash, Clement Neo et al.
To Answer or Not to Answer (TAONA): A Robust Textual Graph Understanding and Question Answering Approach
Yuchen Yan, Aakash Kolekar, Sahika Genc et al.
VideoLLM Knows When to Speak: Enhancing Time-Sensitive Video Comprehension with Video-Text Duet Interaction Format
Yueqian Wang, Xiaojun Meng, Yuxuan Wang et al.