Papers
QuantAgents: Towards Multi-agent Financial System via Simulated Trading
Xiangyu Li, Yawen Zeng, Xiaofen Xing et al.
VIVA+: Human-Centered Situational Decision-Making
Zhe Hu, Yixiao Ren, Guanzhong Liu et al.
KurTail : Kurtosis-based LLM Quantization
Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski, Evangelos Eleftheriou et al.
Investigating the Impact of Conceptual Metaphors on LLM-based NLI through Shapley Interactions
Meghdut Sengupta, Maximilian Muschalik, Fabian Fumagalli et al.
Judging with Many Minds: Do More Perspectives Mean Less Prejudice? On Bias Amplification and Resistance in Multi-Agent Based LLM-as-Judge
Chiyu Ma, Enpei Zhang, Yilun Zhao et al.
Optimising Factual Consistency in Summarisation via Preference Learning from Multiple Imperfect Metrics
Yuxuan Ye, Raul Santos-Rodriguez, Edwin Simpson
Choosing a Model, Shaping a Future: Comparing LLM Perspectives on Sustainability and its Relationship with AI
Annika Bush, Meltem Aksoy, Markus Pauly et al.
Ko-LongRAG: A Korean Long-Context RAG Benchmark Built with a Retrieval-Free Approach
Yongil Kim, Heuiyeen Yeen, Hyeongu Yun et al.
PhysicsArena: The First Multimodal Physics Reasoning Benchmark Exploring Variable, Process, and Solution Dimensions
Song Dai, Yibo Yan, Jiamin Su et al.
Diving into Mitigating Hallucinations from a Vision Perspective for Large Vision-Language Models
Weihang Wang, Xinhao Li, Ziyue Wang et al.
Your Mileage May Vary: How Empathy and Demographics Shape Human Preferences in LLM Responses
Yishan Wang, Amanda Cercas Curry, Flor Miriam Plaza-del-Arco
Low-Hallucination and Efficient Coreference Resolution with LLMs
Yujian Gan, Yuan Liang, Jinxia Xie et al.
URO-Bench: Towards Comprehensive Evaluation for End-to-End Spoken Dialogue Models
Ruiqi Yan, Xiquan Li, Wenxi Chen et al.
PolBiX: Detecting LLMs’ Political Bias in Fact-Checking through X-phemisms
Charlott Jakob, David Harbecke, Patrick Parschan et al.
Tracing Training Footprints: A Calibration Approach for Membership Inference Attacks Against Multimodal Large Language Models
Xiaofan Zheng, Huixuan Zhang, Xiaojun Wan
Distilling Many-Shot In-Context Learning into a Cheat Sheet
Ukyo Honda, Soichiro Murakami, Peinan Zhang
Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models
Zonghao Ying, Deyue Zhang, Zonglei Jing et al.
Faster and Better LLMs via Latency-Aware Test-Time Scaling
Zili Wang, Tianyu Zhang, Haoli Bai et al.
ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models
Razvan-Gabriel Dumitru, Darius Peteleaza, Vikas Yadav et al.
Dissecting Logical Reasoning in LLMs: A Fine-Grained Evaluation and Supervision Study
Yujun Zhou, Jiayi Ye, Zipeng Ling et al.
Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents
Shouju Wang, Fenglin Yu, Xirui Liu et al.
Zero-shot Graph Reasoning via Retrieval Augmented Framework with LLMs
Hanqing Li, Sharika Mahadevan, Kiran Jyothi Sheena et al.
IP-Dialog: Evaluating Implicit Personalization in Dialogue Systems with Synthetic Data
Bo Peng, Zhiheng Wang, Heyang Gong et al.
On Guardrail Models’ Robustness to Mutations and Adversarial Attacks
Elias Bassani, Ignacio Sanchez
Semantic Contribution-Aware Adaptive Retrieval for Black-Box Models
Qinhong Lin, Zhongliang Yang, Yuang Cai et al.