Papers
ModelingAgent: Bridging LLMs and Mathematical Modeling for Real-World Challenges
Cheng Qian, Hongyi Du, Hongru Wang et al.
Legal Mathematical Reasoning with LLMs: Procedural Alignment through Two-Stage Reinforcement Learning
Kepu Zhang, Guofu Xie, Weijie Yu et al.
DP-GTR: Differentially Private Prompt Protection via Group Text Rewriting
Mingchen Li, Heng Fan, Song Fu et al.
One More Modality: Does Abstract Meaning Representation Benefit Visual Question Answering?
Abhidip Bhattacharyya, Emma Markle, Shira Wein
SQLSpace: A Representation Space for Text-to-SQL to Discover and Mitigate Robustness Gaps
Neha Srikanth, Victor Bursztyn, Puneet Mathur et al.
Invoke Interfaces Only When Needed: Adaptive Invocation for Large Language Models in Question Answering
Jihao Zhao, Chunlai Zhou, Daixuan Li et al.
RELIC: Enhancing Reward Model Generalization for Low-Resource Indic Languages with Few-Shot Examples
Soumya Suvra Ghosal, Vaibhav Singh, Akash Ghosh et al.
Training Language Models to Critique With Multi-agent Feedback
Tian Lan, Wenwei Zhang, Chengqi Lyu et al.
Identifying Rare Languages in Common Crawl Data is a Needles-in-a-Haystack Problem
Rasul Dent, Pedro Ortiz Suarez, Thibault Clérice et al.
What’s Not Said Still Hurts: A Description-Based Evaluation Framework for Measuring Social Bias in LLMs
Jinhao Pan, Chahat Raj, Ziyu Yao et al.
What Makes for Good Image Captions?
Delong Chen, Samuel Cahyawijaya, Etsuko Ishii et al.
DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data
Yuhang Zhou, Jing Zhu, Shengyi Qian et al.
Bhaasha, Bhāṣā, Zaban: A Survey for Low-Resourced Languages in South Asia – Current Stage and Challenges
Sampoorna Poria, Xiaolei Huang
NLoRA: Nyström-Initiated Low-Rank Adaptation for Large Language Models
Chenlu Guo, Yi Chang, Yuan Wu
ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion
Rana Shahroz, Dongwen Tang, Pingzhi Li et al.
Flexible Thinking for Multimodal Emotional Support Conversation via Reinforcement Learning
Fanfan Wang, Xiangqing Shen, Jianfei Yu et al.
From Grounding to Manipulation: Case Studies of Foundation Model Integration in Embodied Robotic Systems
Xiuchao Sui, Daiying Tian, Qi Sun et al.
Large Language Model Evaluation via Matrix Nuclear-Norm
Yahan Li, Tingyu Xia, Yuan Wu et al.
Chain-of-Thought Prompting Obscures Hallucination Cues in Large Language Models: An Empirical Evaluation
Jiahao Cheng, Tiancheng Su, Jia Yuan et al.
Minimal Ranks, Maximum Confidence: Parameter-efficient Uncertainty Quantification for LoRA
Patryk Marszałek, Klaudia Bałazy, Jacek Tabor et al.
Natural Context Drift Undermines the Natural Language Understanding of Large Language Models
Yulong Wu, Viktor Schlegel, Riza Batista-Navarro
Mitigating Object Hallucinations in MLLMs via Multi-Frequency Perturbations
Shuo Li, Jiajun Sun, Guodong Zheng et al.
Dagger Behind Smile: Fool LLMs with a Happy Ending Story
Xurui Song, Zhixin Xie, Shuo Huai et al.
English as Defense Proxy: Mitigating Multilingual Jailbreak via Eliciting English Safety Knowledge
Zekai Zhang, Yiduo Guo, Jiuheng Lin et al.
LAGCL4Rec: When LLMs Activate Interactions Potential in Graph Contrastive Learning for Recommendation
Leqi Zheng, Chaokun Wang, Canzhi Chen et al.