Papers
Dash-M5H: An Interactive Dashboard for Multi-Modal, Multi-Model Mental Health Assessment
Raymond Alavo, Xinyuan Zhang, Gemza Ademaj et al.
AutoForest: Automatically Generating Forest Plots from Biomedical Studies with End-to-End Evidence Extraction and Synthesis
Massimiliano Pronesti, Angelo Miculescu, Mohsin Kapdi et al.
AInterviewer: A Platform for Designing and Conducting AI-led Qualitative Interviews
Tobias Gårdhus, Nikolas Vitsakis, Fie Lejre Frederiksen et al.
IDP Accelerator: Agentic Document Intelligence from Extraction to Compliance Validation
Md Mofijul Islam, Md Sirajus Salekin, Joe King et al.
CodeDistiller: Automatically Generating Code Libraries for Scientific Coding Agents
Peter Jansen, Samiah Hassan, Pragnya Narasimha
Fast-MIA: Efficient and Scalable Membership Inference for LLMs
Hiromu Takahashi, Shotaro Ishihara
dLLM: Simple Diffusion Language Modeling
Zhanhui Zhou, Lingjie Chen, Hanghang Tong et al.
QFinZero: A Unified Financial Toolchain for LLM-Based Trading Agents
Haochen Luo, Yifan LI, Ho Tin Ko et al.
AutoFigure-Edit: Generating Editable Scientific Illustrations via Reference-Guided Styling
Zhen Lin, Qiujie Xie, Minjun Zhu et al.
LiTS: A Modular Framework for LLM Tree Search
Xinzhe Li, Yaguang Tao
SymbolicThought: Integrating Language Models and Symbolic Reasoning for Consistent and Interpretable Human Relationship Understanding
Runcong Zhao, Qinglin Zhu, Hainiu Xu et al.
PROTEA: Offline Evaluation and Iterative Refinement for Multi-Agent LLM Workflows
Kazuki Kawamura, Satoshi Waki, Kei Tateno
Copyright Detective: A Forensic System to Evidence LLMs Flickering Copyright Leakage Risks
Guangwei Zhang, Jianing Zhu, Cheng Qian et al.
Interpreto: An Explainability Library for Transformers
Antonin Poché, Thomas Mullor, Gabriele Sarti et al.
Diving into the Decoding Space of Non-Autoregressive Models via Lexically Constrained Search
Chenyang Huang, Osmar Zaiane
Protein-STORY: Semantic Text-Oriented Representation Yields biologically meaningful Protein embeddings
Nabil Ibtehaz, Daisuke Kihara
Reviving Iterative Refinement in Diffusion-based NER with an Initializer-Restorer Approach
Long Hai Trieu, Phí Minh Hieu, Makoto Miwa
Chain-of-Thought Degrades Visual Spatial Reasoning Capabilities of Multimodal LLMs
Sai Srinivas Kancheti, Aditya Sanjiv Kanade, Vineeth N. Balasubramanian et al.
What Makes AI Research Replicable? Executable Knowledge Graphs as Scientific Knowledge Representations
Yujie Luo, Zhuoyun Yu, Xuehai Wang et al.
Decoupling Generalization and Adaptation in Meta-Learning for Large Language Models
Nitin Vetcha, Binqian Xu, Dianbo Liu
Learning from Emptiness: De-biasing Listwise Rerankers with Content-Agnostic Probability Calibration
Hang Lv, Hongchao Gu, Ruiqing Yang et al.
T⋆: Progressive Block Scaling for Masked Diffusion Language Models Through Trajectory Aware Reinforcement Learning
Hanchen Xia, Baoyou Chen, Yutang Ge et al.
A Shared Geometry of Difficulty in Multilingual Language Models
Stefano Civelli, Pietro Bernardelle, Nicolò Brunello et al.
Temporal Leakage in Search-Engine Date-Filtered Web Retrieval: A Retrospective Forecasting Case Study
Ali El Lahib, Ying-Jieh Xia, Zehan Li et al.
Late Code Chunking: A Code Chunking Strategy for Repository-Level Code Completion
Seungmin Oh, Eunseok Lee