Papers
FroM: Frobenius Norm-Based Data-Free Adaptive Model Merging
Zijian Li, Xiaocheng Feng, Huixin Liu et al.
From General Reward to Targeted Reward: Improving Open-ended Long-context Generation Models
Zhihan Guo, Jiele Wu, Wenqian Cui et al.
From Generation to Detection: A Multimodal Multi-Task Dataset for Benchmarking Health Misinformation
Zhihao Zhang, Yiran Zhang, Xiyue Zhou et al.
From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge
Dawei Li, Bohan Jiang, Liangjie Huang et al.
From Generic Empathy to Personalized Emotional Support: A Self-Evolution Framework for User Preference Alignment
Jing Ye, Lu Xiang, Yaping Zhang et al.
From Grounding to Manipulation: Case Studies of Foundation Model Integration in Embodied Robotic Systems
Xiuchao Sui, Daiying Tian, Qi Sun et al.
From Ground Trust to Truth: Disparities in Offensive Language Judgments on Contemporary Korean Political Discourse
Seunguk Yu, JungMin Yun, Jinhee Jang et al.
From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systems
Zekun Zhou, Xiaocheng Feng, Lei Huang et al.
From Implicit Exploration to Structured Reasoning: Guideline and Refinement for LLMs
Jiaxiang Chen, Zhuo Wang, Mingxi Zou et al.
From Input Perception to Predictive Insight: Modeling Model Blind Spots Before They Become Errors
Maggie Mi, Aline Villavicencio, Nafise Sadat Moosavi
From Insight to Exploit: Leveraging LLM Collaboration for Adaptive Adversarial Text Generation
Najrin Sultana, Md Rafi Ur Rashid, Kang Gu et al.
From Keyterms to Context: Exploring Topic Description Generation in Scientific Corpora
Pierre Achkar, Satiyabooshan Murugaboopathy, Anne Kreuter et al.
From KMMLU-Redux to Pro: A Professional Korean Benchmark Suite for LLM Evaluation
Seokhee Hong, Sunkyoung Kim, Guijin Son et al.
From Knowledge to Treatment: Large Language Model Assisted Biomedical Concept Representation for Drug Repurposing
Chengrui Xiang, Tengfei Ma, Xiangzheng Fu et al.
From Language to Cognition: How LLMs Outgrow the Human Language Network
Badr AlKhamissi, Greta Tuckute, Yingtian Tang et al.
From Long to Lean: Performance-aware and Adaptive Chain-of-Thought Compression via Multi-round Refinement
JianZhi Yan, Le Liu, Youcheng Pan et al.
From Long Videos to Engaging Clips: A Human-Inspired Video Editing Framework with Multimodal Narrative Understanding
Xiangfeng Wang, Xiao Li, Yadong Wei et al.
From n-gram to Attention: How Model Architectures Learn and Propagate Bias in Language Modeling
Mohsinul Kabir, Tasfia Tahsin, Sophia Ananiadou
From Noise to Clarity: Filtering Real and LLM-Generated Samples for Enhanced Intent Detection
Junbao Huang, Weizhen Li, Peijie Huang et al.
From Noise to Nuance: Enriching Subjective Data Annotation through Qualitative Analysis
Ruyuan Wan, Haonan Wang, Ting-Hao Kenneth Huang et al.
From Parameters to Performance: A Data-Driven Study on LLM Structure and Development
Suqing Wang, Zuchao Li, Shi Luohe et al.
From Personas to Talks: Revisiting the Impact of Personas on LLM-Synthesized Emotional Support Conversations
Shenghan Wu, Yimo Zhu, Wynne Hsu et al.
From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement Learning
David Dinucu-Jianu, Jakub Macina, Nico Daheim et al.
From Reasoning to Answer: Empirical, Attention-Based and Mechanistic Insights into Distilled DeepSeek R1 Models
Jue Zhang, Qingwei Lin, Saravan Rajmohan et al.