Papers
ZARA: Training-Free Motion Time-Series Reasoning via Evidence-Grounded LLM Agents
Zechen Li, Baiyu Chen, Hao Xue et al.
PRIME: A Process-Outcome Alignment Benchmark for Verifiable Reasoning in Mathematics and Engineering
Xiangfeng Wang, Hangyu Guo, Yanlin Lai et al.
Bridging the Memorization-Utilization Gap: Near-Lossless Context Compression via Reinforcement Learning
Yujan Ting, Xu Tang, Terrence Chen et al.
Min-k Sampling: Decoupling Truncation from Temperature Scaling via Relative Logit Dynamics
Yuanhao Ding, Meimingwei Li, Esteban Garces Arias et al.
Rethinking Evaluation for LLM Hallucination Detection: A Desiderata, A New RAG-based Benchmark, New Insights
Wenbo Chen, Veena Padmanabhan, Tootiya Giyahchi et al.
Spatial-Agent: Agentic Geo-spatial Reasoning with Scientific Core Concepts
Riyang Bao, Cheng Yang, Dazhou Yu et al.
YIELD: A Large-Scale Dataset and Evaluation Framework for Information Elicitation Agents
Victor De Lima, Grace Hui Yang
SlideAgent: Hierarchical Agentic Framework for Multi-Page Visual Document Understanding
Yiqiao Jin, Rachneet Kaur, Zhen Zeng et al.
Language Models Struggle to Use Representations Learned In-Context
Michael A. Lepori, Tal Linzen, Ann Yuan et al.
CASPER in the Machine: Insights into Character Variety in LLM-Generated Stories
Anneliese Brei, Abhisheik Sharma, Nicholas Sanaie et al.
MONETA: Multimodal Industry Classification through Geographic Information with Multi Agent Systems
Arda Yüksel, Gabriel Thiem, Susanne Walter et al.
Believing without Seeing: Quality Scores for Contextualizing Vision-Language Model Explanations
Keyu He, Tejas Srinivasan, Brihi Joshi et al.
XMark: Reliable Multi-Bit Watermarking for LLM-Generated Texts
Jiahao Xu, Rui Hu, Olivera Kotevska et al.
Digitizing Nepal’s Written Heritage: A Comprehensive HTR Pipeline for Old Nepali Manuscripts
Anjali Sarawgi, Esteban Garces Arias, Christof Zotter
Controllable Memory Usage: Balancing Anchoring and Innovation in Long-Term Human–Agent Interaction
Zisu Huang, Muzhao Tian, Xiaohua Wang et al.
Generating Literature-Driven Scientific Theories at Scale
Peter Jansen, Peter Clark, Doug Downey et al.
PARASITE: Conditional System Prompt Poisoning to Hijack LLMs
Viet Pham, Thai Le
Single-Pass, Depth-Selective Reading for Multi-Aspect Sentiment Analysis
Yan Xia, Zhuangzhuang Pan, Amirrudin Kamsin et al.
Find Your Optimal Teacher: Personalized Data Synthesis via Router-Guided Multi-Teacher Distillation
Hengyuan Zhang, Shiping Yang, Xiao Liang et al.
The Illusion of Specialization: Unveiling the Domain-Invariant "Standing Committee" in Mixture-of-Experts Models
Yan Wang, Yitao Xu, Nanhan Shen et al.
For-Value: Efficient Forward-Only Data Valuation for finetuning LLMs and VLMs
Wenlong Deng, Qi Zeng, Jiaming Zhang et al.
AI use in American newspapers is widespread, uneven, and rarely disclosed
Jenna Russell, Marzena Karpinska, Destiny Akinode et al.
FinChain: A Symbolic Benchmark for Verifiable Chain-of-Thought Financial Reasoning
Zhuohan Xie, Daniil Orel, Rushil Thareja et al.
SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression
Yiqiao Jin, Kartik Sharma, Vineeth Rakesh et al.
DisCal: Distribution-Aware Calibration for Mathematical Reasoning Under Character-Level Noisy Inputs
Bo Zhang, Jiawei Zhang, Cong Gao et al.