Papers
OpenTuringBench: An Open-Model-based Benchmark and Framework for Machine-Generated Text Detection and Attribution
Lucio La Cava, Andrea Tagarelli
3MDBench: Medical Multimodal Multi-agent Dialogue Benchmark
Ivan Sviridov, Amina Miftakhova, Artemiy Tereshchenko et al.
Dynamic Jointly Batch Selection for Data Efficient Machine Translation Fine-Tuning
Mohammad Amin Ghanizadeh, Mohammad Javad Dousti
Exploring Quality and Diversity in Synthetic Data Generation for Argument Mining
Jianzhu Bao, Yuqi Huang, Yang Sun et al.
How to Make Large Language Models Generate 100% Valid Molecules?
Wen Tao, Jing Tang, Alvin Chan et al.
ConvSearch-R1: Enhancing Query Reformulation for Conversational Search with Reasoning via Reinforcement Learning
Changtai Zhu, Siyin Wang, Ruijun Feng et al.
Model Unlearning via Sparse Autoencoder Subspace Guided Projections
Xu Wang, Zihao Li, Benyou Wang et al.
Leaky Thoughts: Large Reasoning Models Are Not Private Thinkers
Tommaso Green, Martin Gubri, Haritz Puerto et al.
UICOMPASS: UI Map Guided Mobile Task Automation via Adaptive Action Generation
Yuanzhang Lin, Zhe Zhang, He Rui et al.
Decoding Dense Embeddings: Sparse Autoencoders for Interpreting and Discretizing Dense Retrieval
Seongwan Park, Taeklim Kim, Youngjoong Ko
ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning
Yu Sun, Xingyu Qian, Weiwen Xu et al.
Sentence Smith: Controllable Edits for Evaluating Text Embeddings
Hongji Li, Andrianos Michail, Reto Gubelmann et al.
VLA-Mark: A cross modal watermark for large vision-language alignment models
Shuliang Liu, Zheng Qi, Jesse Jiaxi Xu et al.
FedMABench: Benchmarking Mobile GUI Agents on Decentralized Heterogeneous User Data
WenHao Wang, Zijie Yu, Rui Ye et al.
DDO: Dual-Decision Optimization for LLM-Based Medical Consultation via Multi-Agent Collaboration
Zhihao Jia, Mingyi Jia, Junwen Duan et al.
GraphAgent: Agentic Graph Language Assistant
Yuhao Yang, Jiabin Tang, Lianghao Xia et al.
GRASP: Replace Redundant Layers with Adaptive Singular Parameters for Efficient Model Compression
Kainan Liu, Yong Zhang, Ning Cheng et al.
CopySpec: Accelerating LLMs with Speculative Copy-and-Paste
Razvan-Gabriel Dumitru, Minglai Yang, Vikas Yadav et al.
Financial Risk Relation Identification through Dual-view Adaptation
Wei-Ning Chiu, Yu-Hsiang Wang, Andy Hsiao et al.
SocioBench: Modeling Human Behavior in Sociological Surveys with Large Language Models
Jia Wang, Ziyu Zhao, Tingjuntao Ni et al.
DiMo-GUI: Advancing Test-time Scaling in GUI Grounding via Modality-Aware Visual Reasoning
Hang Wu, Hongkai Chen, Yujun Cai et al.
Reverse Prompt Engineering: A Zero-Shot, Genetic Algorithm Approach to Language Model Inversion
Hanqing Li, Diego Klabjan
SMEC:Rethinking Matryoshka Representation Learning for Retrieval Embedding Compression
Biao Zhang, Lixin Chen, Tong Liu et al.
How to inject knowledge efficiently? Knowledge Infusion Scaling Law for Pre-training Large Language Models
Kangtao Lv, Haibin Chen, Yujin Yuan et al.
The Stepwise Deception: Simulating the Evolution from True News to Fake News with LLM Agents
Yuhan Liu, Zirui Song, Juntian Zhang et al.