Papers
Both Text and Images Leaked! A Systematic Analysis of Data Contamination in Multimodal LLM
Dingjie Song, Sicheng Lai, Mingxuan Wang et al.
Text or Pixels? Evaluating Efficiency and Understanding of LLMs with Visual Text Inputs
Yanhong Li, Zixuan Lan, Jiawei Zhou
Assessing Socio-Cultural Alignment and Technical Safety of Sovereign LLMs
Kyubyung Chae, Gihoon Kim, Gyuseong Lee et al.
Data Doping or True Intelligence? Evaluating the Transferability of Injected Knowledge in LLMs
Essa Jan, Moiz Ali, Muhammad Saram Hassan et al.
Breaking the Attention Trap in Code LLMs: A Rejection Sampling Approach to Enhance Code Execution Prediction
Xingcheng Ruan, Haoxiang Geng, Yunhui Xia et al.
ReliableEval: A Recipe for Stochastic LLM Evaluation via Method of Moments
Gili Lior, Eliya Habba, Shahar Levy et al.
Are Economists Always More Introverted? Analyzing Consistency in Persona-Assigned LLMs
Manon Reusens, Bart Baesens, David Jurgens
On the Effectiveness of Prompt-Moderated LLMs for Math Tutoring at the Tertiary Level
Sebastian Steindl, Fabian Brunner, Nada Sissouno et al.
SkewRoute: Training-Free LLM Routing for Knowledge Graph Retrieval-Augmented Generation via Score Skewness of Retrieved Context
Hairu Wang, Yuan Feng, Yukun Cao et al.
Time to Talk: LLM Agents for Asynchronous Group Communication in Mafia Games
Niv Eckhaus, Uri Berger, Gabriel Stanovsky
Structure Trumps Size: Rethinking Data Quality for LLM Reasoning
Hu Xu, Zeyan Li, Rui Wang et al.
Benchmarking for Domain-Specific LLMs: A Case Study on Academia and Beyond
Rubing Chen, Jiaxin Wu, Jian Wang et al.
Unraveling Misinformation Propagation in LLM Reasoning
Yiyang Feng, Yichen Wang, Shaobo Cui et al.
Teaching According to Talents! Instruction Tuning LLMs with Competence-Aware Curriculum Learning
Yangning Li, Tingwei Lu, Yinghui Li et al.
Let Them Down Easy! Contextual Effects of LLM Guardrails on User Perceptions and Preferences
Mingqian Zheng, Wenjia Hu, Patrick Zhao et al.
MOLE: Metadata Extraction and Validation in Scientific Papers Using LLMs
Zaid Alyafeai, Maged S. Al-shaibani, Bernard Ghanem
FESTA: Functionally Equivalent Sampling for Trust Assessment of Multimodal LLMs
Debarpan Bhattacharya, Apoorva Kulkarni, Sriram Ganapathy
Summarize-Exemplify-Reflect: Data-driven Insight Distillation Empowers LLMs for Few-shot Tabular Classification
Yifei Yuan, Jiatong Li, Weijia Zhang et al.
Rethinking LLM Uncertainty: A Multi-Agent Approach to Estimating Black-Box Model Uncertainty
Yu Feng, Phu Mon Htut, Zheng Qi et al.
Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization
Chuyuan Li, Austin Xu, Shafiq Joty et al.
LoRaDA: Low-Rank Direct Attention Adaptation for Efficient LLM Fine-tuning
Zhangming Li, Qinghao Hu, Yiqun Chen et al.
Agentic Medical Knowledge Graphs Enhance Medical Question Answering: Bridging the Gap Between LLMs and Evolving Medical Knowledge
Mohammad Reza Rezaei, Reza Saadati Fard, Jayson Lee Parker et al.
Explainable Text Classification with LLMs: Enhancing Performance through Dialectical Prompting and Explanation-Guided Training
Huaming Du, Lei Yuan, Cancan Feng et al.
Training LLMs for Optimization Modeling via Iterative Data Synthesis and Structured Validation
Yang Wu, Yifan Zhang, Yurong Wu et al.
Exploiting Prompt-induced Confidence for Black-Box Attacks on LLMs
Meina Chen, Yihong Tang, Kehai Chen