Papers
PMPO: Probabilistic Metric Prompt Optimization for Small and Large Language Models
ChenZhuo Zhao, Ziqian Liu, Xinda Wang et al.
MDSEval: A Meta-Evaluation Benchmark for Multimodal Dialogue Summarization
Yinhong Liu, Jianfeng He, Hang Su et al.
QUARTZ: QA-based Unsupervised Abstractive Refinement for Task-oriented Dialogue Summarization
Mohamed Imed Eddine Ghebriout, Gaël Guibon, Ivan Lerner et al.
Trust Me, I’m Wrong: LLMs Hallucinate with Certainty Despite Knowing the Answer
Adi Simhi, Itay Itzhak, Fazl Barez et al.
Navigating the Unknown: Intent Classification and Out-of-Distribution Detection Using Large Language Models
Yusuf Sali, Sıtkı Can Toraman
Can You Trick the Grader? Adversarial Persuasion of LLM Judges
Yerin Hwang, Dongryeol Lee, Taegwan Kang et al.
Elucidating Mechanisms of Demographic Bias in LLMs for Healthcare
Hiba Ahsan, Arnab Sen Sharma, Silvio Amir et al.
Decoding Uncertainty: The Impact of Decoding Strategies for Uncertainty Estimation in Large Language Models
Wataru Hashimoto, Hidetaka Kamigaito, Taro Watanabe
RadialRouter: Structured Representation for Efficient and Robust Large Language Models Routing
Ruihan Jin, Pengpeng Shao, Zhengqi Wen et al.
Robust Knowledge Editing via Explicit Reasoning Chains for Distractor-Resilient Multi-Hop QA
Yuchen Wu, Liang Ding, Li Shen et al.
FactReasoner: A Probabilistic Approach to Long-Form Factuality Assessment for Large Language Models
Radu Marinescu, Debarun Bhattacharjya, Junkyu Lee et al.
Training with Fewer Bits: Unlocking Edge LLMs Training with Stochastic Rounding
Taowen Liu, Marta Andronic, Deniz Gunduz et al.
Social Bias Evaluation for Large Language Models Requires Prompt Variations
Rem Hida, Masahiro Kaneko, Naoaki Okazaki
SubDocTrans: Enhancing Document-level Machine Translation with Plug-and-play Multi-granularity Knowledge Augmentation
Hanghai Hong, Yibo Xie, Jiawei Zheng et al.
HapticCap: A Multimodal Dataset and Task for Understanding User Experience of Vibration Haptic Signals
Guimin Hu, Daniel Hershcovich, Hasti Seifi
BcQLM: Efficient Vision-Language Understanding with Distilled Q-Gated Cross-Modal Fusion
Sike Xiang, Shuang Chen, Amir Atapour-Abarghouei
Learning Trajectories of Figurative Language for Pre-Trained Language Models
Nicola Arici, Luca Putelli, Ejdis Gjinika et al.
Harry Potter is Still Here! Probing Knowledge Leakage in Targeted Unlearned Large Language Models
Bang Trinh Tran To, Thai Le
CausalMACE: Causality Empowered Multi-Agents in Minecraft Cooperative Tasks
Qi Chai, Zhang Zheng, Junlong Ren et al.
TRUEBench: Can LLM Response Meet Real-world Constraints as Productivity Assistant?
Jiho Park, Jongyoon Song, Minjin Choi et al.
Do Influence Functions Work on Large Language Models?
Zhe Li, Wei Zhao, Yige Li et al.
Human-Inspired Obfuscation for Model Unlearning: Local and Global Strategies with Hyperbolic Representations
Zekun Wang, Jingjie Zeng, Yingxu Li et al.
Fair Text-Attributed Graph Representation Learning
Ruilin Luo, Tianle Gu, Lin Wang et al.
MLAlgo-Bench: Can Machines Implement Machine Learning Algorithms?
Yunfei Wang, Yeqin Zhang, Yuyang Wu et al.
CURE: Controlled Unlearning for Robust Embeddings — Mitigating Conceptual Shortcuts in Pre-Trained Language Models
Aysenur Kocak, Shuo Yang, Bardh Prenkaj et al.