Papers
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
Dialogue is the Plan: From Interface to Joint Action in Agentic AI
Mert Inan, Malihe Alikhani, Anthony Sicilia
BioHiCL: Hierarchical Multi-Label Contrastive Learning for Biomedical Retrieval with MeSH Labels
Mengfei Lan, Lecheng Zheng, Halil Kilicoglu
LOGICAL-COMMONSENSEQA: A Benchmark for Logical Commonsense Reasoning
Obed Junias, Maria Leonor Pacheco
How Do Inpainting Artifacts Propagate to Language?
Pratham Yashwante, Davit Abrahamyan, Shresth Grover et al.
Data-efficient Targeted Token-level Preference Optimization for LLM-based Text-to-Speech
Rikuto Kotoge, Yuichi Sasaki
Revisiting Evaluation of Question Answering Systems in Low-Resource Indic Languages: Bridging Human and Metric Alignment
Anuj Kumar, Satyadev Ahlawat, Yamuna Prasad et al.
FL-MSCL: A Unified Figurative Language Detection Model Driven by Multi-Type Signals and Contrastive Learning
Lu Shijia, Fumiyo Fukumoto, Huang Xiaoxi et al.
Exploring Cross-Client Memorization of Training Data in Large Language Models for Federated Learning
Tinnakit Udsa, Can Udomcharoenchaikit, Patomporn Payoungkhamdee et al.
Frame-Semantic Knowledge Injection for Event-Level Inference in LLMs
Shahid Iqbal Rai, Danilo Croce, Roberto Basili
SED-SFT: Selectively Encouraging Diversity in Supervised Fine-Tuning
Yijie Chen, Yijin Liu, Fandong Meng
One-step Nonautoregressive Natural Language Generation with Shortcut Flow Matching Models
Jędrzej Warczyński, Ondrej Dusek, Mateusz Lango
Challenging the Explanation Based on Preceding Tokens: Discovering Transferable Non-Literal Biasing
Yuchen Huang, Junpeng Zhang, Quanshi Zhang
CaBSALLM: Efficient Context-Aware Batch Annotation of Conversational Streams with Large Language Models
Mohammadsadegh Abolhasani, Reza Mousavi, Paul Jen-Hwa Hu
Experiments or Outcomes? Probing Scientific Feasibility in Large Language Models
Seyedali Mohammadi, Manas Gaur, Francis Ferraro
Skill-Aware Data Selection and Fine-Tuning for Data-Efficient Reasoning Distillation
Lechen Zhang, Yunxiang Zhang, Wei Hu et al.