Papers
17,973 papers found
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.
From Regulation to Interaction: Expert Views on Aligning Explainable AI with the EU AI Act
Mahdi Dhaini, Lukas Ondrus, Gjergji Kasneci
From Remembering to Metacognition: Do Existing Benchmarks Accurately Evaluate LLMs?
Geng Zhang, Yizhou Ying, Sihang Jiang et al.
From SALAMANDRA to SALAMANDRATA: BSC Submission for WMT25 General Machine Translation Shared Task
Javier Garcia Gilabert, Xixian Liao, Severino Da Dalt et al.
From Schema to State: Zero-Shot Scheme-Only Dialogue State Tracking via Diverse Synthetic Dialogue and Step-by-Step Distillation
Huan Xu, Zequn Li, Wen Tang et al.
From Scores to Steps: Diagnosing and Improving LLM Performance in Evidence-Based Medical Calculations
Benlu Wang, Iris Xia, Yifan Zhang et al.
From Surveys to Narratives: Rethinking Cultural Value Adaptation in LLMs
Farid Adilazuarda, Chen Cecilia Liu, Iryna Gurevych et al.
From Tens of Hours to Tens of Thousands: Scaling Back-Translation for Speech Recognition
Tianduo Wang, Lu Xu, Wei Lu et al.
From Token to Action: State Machine Reasoning to Mitigate Overthinking in Information Retrieval
Dohyeon Lee, Yeonseok Jeong, Seung-won Hwang