Papers
Benchmarking and Improving LLM Robustness for Personalized Generation
Chimaobi Okite, Naihao Deng, Kiran Bodipati et al.
Captioning for Text-Video Retrieval via Dual-Group Direct Preference Optimization
Ji Soo Lee, Byungoh Ko, Jaewon Cho et al.
SRM-LLM: Semantic Relationship Mining with LLMs for Temporal Knowledge Graph Extrapolation
Fu Zhang, Panfeng Zhang, Jingwei Cheng
FSTs vs ICL: Generalisation in LLMs for an under-resourced language
Ximena Gutierrez, Mikel Segura Elizalde, Victor Mijangos
Language Models Can Easily Learn to Reason from Demonstrations
Dacheng Li, Shiyi Cao, Tyler Griggs et al.
S*: Test Time Scaling for Code Generation
Dacheng Li, Shiyi Cao, Chengkun Cao et al.
HetGCoT: Heterogeneous Graph-Enhanced Chain-of-Thought LLM Reasoning for Academic Question Answering
Runsong Jia, Mengjia Wu, Ying Ding et al.
Parsing the Switch: LLM-Based UD Annotation for Complex Code-Switched and Low-Resource Languages
Olga Kellert, Nemika Tyagi, Muhammad Imran et al.
CLEAR: A Clinically Grounded Tabular Framework for Radiology Report Evaluation
Yuyang Jiang, Chacha Chen, Shengyuan Wang et al.
Hopscotch: Discovering and Skipping Redundancies in Language Models
Mustafa Eyceoz, Nikhil Shivakumar Nayak, Hao Wang et al.
Mind the Dialect: NLP Advancements Uncover Fairness Disparities for Arabic Users in Recommendation Systems
Abdulla Alshabanah, Murali Annavaram
SIMBA UQ: Similarity-Based Aggregation for Uncertainty Quantification in Large Language Models
Debarun Bhattacharjya, Balaji Ganesan, Junkyu Lee et al.
MRFD: Multi-Region Fusion Decoding with Self-Consistency for Mitigating Hallucinations in LVLMs
Haonan Ge, Yiwei Wang, Ming-Hsuan Yang et al.
Post-hoc Study of Climate Microtargeting on Social Media Ads with LLMs: Thematic Insights and Fairness Evaluation
Tunazzina Islam, Dan Goldwasser
Residualized Similarity for Faithfully Explainable Authorship Verification
Peter Zeng, Pegah Alipoormolabashi, Jihu Mun et al.
Profiling LLM’s Copyright Infringement Risks under Adversarial Persuasive Prompting
Jikai Long, Ming Liu, Xiusi Chen et al.
Fine-tuning LLMs with Cross-Attention-based Weight Decay for Bias Mitigation
Farsheed Haque, Zhe Fu, Depeng Xu et al.
Debating for Better Reasoning in Vision-Language Models
Ashutosh Adhikari, Mirella Lapata
Large Language Models for Multilingual Previously Fact-Checked Claim Detection
Ivan Vykopal, Matúš Pikuliak, Simon Ostermann et al.
MFTCXplain: A Multilingual Benchmark Dataset for Evaluating the Moral Reasoning of LLMs through Multi-hop Hate Speech Explanation
Jackson Trager, Francielle Vargas, Diego Alves et al.
Can VLMs Recall Factual Associations From Visual References?
Dhananjay Ashok, Ashutosh Chaubey, Hirona Jacqueline Arai et al.
XRAG: Cross-lingual Retrieval-Augmented Generation
Wei Liu, Sony Trenous, Leonardo F. R. Ribeiro et al.
DrAgent: Empowering Large Language Models as Medical Agents for Multi-hop Medical Reasoning
Fenglin Liu, Zheng Li, Hongjian Zhou et al.
FuzzAug: Data Augmentation by Coverage-guided Fuzzing for Neural Test Generation
Yifeng He, Jicheng Wang, Yuyang Rong et al.
Not Lost After All: How Cross-Encoder Attribution Challenges Position Bias Assumptions in LLM Summarization
Elahe Rahimi, Hassan Sajjad, Domenic Rosati et al.