Papers
From Pixels to Logic: A Perception-Reasoning Decomposition Framework for Open-World Referring Expression Comprehension
Lihong Huang, Sheng-hua Zhong, Zhi Zhang et al.
From Points to Coalitions: Hierarchical Contrastive Shapley Values for Prioritizing Data Samples
Canran Xiao, Jiabao Dou, Zhiming Lin et al.
From Posts to Pressure: An Arabic Dataset about Stress and Mental-Health Monitoring
Wajdi Zaghouani, Eman Sedqy Shlkamy, Mabrouka Bessghaier
From Pretrain to Pain: Adversarial Vulnerability of Video Foundation Models Without Task Knowledge
Hui Lu, Yi Yu, Song Xia et al.
From Prompt to Production: Automating Brand-Safe Marketing Imagery with Text-to-Image Models
Parmida Atighehchian, Henry Wang, Andrei Kapustin et al.
From Sampling to Cognition: Modeling Internal Cognitive Confidence in Language Models for Robust Uncertainty Calibration
Hao Li, Tao He, Jiafeng Liang et al.
From SAM to DINOv2: Towards Distilling Foundation Models to Lightweight Baselines for Generalized Polyp Segmentation
Shivanshu Agnihotri, Snehashis Majhi, Deepak Ranjan Nayak et al.
From Scene to Object: Enhancing Open-Vocabulary Object Detection via Foreground-Background Context Reasoning
Yanqi Li, Jianwei Niu, Ningbo Gu et al.
From Semantics to Spectrum: A New Lens on Graph Augmentation Strategy
Xiangping Zheng, Xiuxin Hao, Bo Wu et al.
From Semantics to Style: A Cross-Dataset Comparative Framework for Sentence Similarity Predictions
Yusuke Yamauchi, Akiko Aizawa
From Sentiment to Interpretation: Teaching NLP for Literary Understanding Across Educational Contexts
Karl-Emil Kjær Bilstrup, Kirstine Nielsen Degn, Morten Schultz et al.
From Sequential to Recursive: Enhancing Decision-Focused Learning with Bidirectional Feedback
Xinyu Wang, Jinxiao Du, Yiyang Peng et al.
From Single to Societal: Analyzing Persona-Induced Bias in Multi-Agent Interactions
Jiayi Li, Xiao Liu, Yansong Feng
From Solver to Tutor: Evaluating the Pedagogical Intelligence of LLMs with KMP-Bench
Weikang Shi, Houxing Ren, Junting Pan et al.
From Standard Transformers to Modern LLMs: Bringing Dialogue Models, RAG, and Agents to the Classroom
Maria Tikhonova, Viktoriia A. Chekalina, Artem Chervyakov et al.
From Static to Active: Knowledge-Aware Node State Selection in Multi-view Graph Learning
Weiran Liao, Jielong Lu, Yuhong Chen et al.
From Stimuli to Minds: Enhancing Psychological Reasoning in LLMs via Bilateral Reinforcement Learning
Yichao Feng, Haoran Luo, Lang Feng et al.
From Street to Orbit: Training-Free Cross-View Retrieval via Location Semantics and LLM Guidance
Jeongho Min, Dongyoung Kim, Jaehyup Lee
From Subtle to Significant: Prompt-Driven Self-Improving Optimization in Test-Time Graph OOD Detection
Luzhi Wang, Xuanshuo Fu, He Zhang et al.
From sunblock to softblock: Analyzing the correlates of neology in published writing and on social media
Maria Ryskina, Matthew R. Gormley, Kyle Mahowald et al.
From Text to Simulation: A Multi-Agent LLM Workflow for Automated Chemical Process Design
Xufei Tian, Wenli Du, Shaoyi Yang et al.
From Tokens to Latent States: Leveraging Pre-trained Language Models for Improving Partially Observable Reinforcement Learning
Meiju Li, Ruixiang Sun, Xin Li et al.
From Woofs to Words: Towards Intelligent Robotic Guide Dogs with Verbal Communication
Yohei Hayamizu, David DeFazio, Hrudayangam Mehta et al.