Papers
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.
ReCUT: Balancing Reasoning Length and Accuracy in LLMs via Stepwise Trails and Preference Optimization
Zhensheng Jin, Xinze Li, Yifan Ji et al.
pFedRAG: A Personalized Federated Retrieval-Augmented Generation System with Depth-Adaptive Tiered Embedding Tuning
Hangyu He, Xin Yuan, Kai Wu et al.
Retrieval Augmented Generation based context discovery for ASR
Siskos Dimitrios, Stavros Papadopoulos, Pablo Peso Parada et al.
Zero-Shot Defense Against Toxic Images via Inherent Multimodal Alignment in LVLMs
Wei Zhao, Zhe Li, Yige Li et al.
InfiMM-WebMath-40B: Advancing Multimodal Pre-Training for Enhanced Mathematical Reasoning
Xiaotian Han, Yiren Jian, Xuefeng Hu et al.
1+1>2: A Synergistic Sparse and Low-Rank Compression Method for Large Language Models
Zeliang Zong, Kai Zhang, Zheyang Li et al.
SEKE: Specialised Experts for Keyword Extraction
Matej Martinc, Thi Hong Hanh Tran, Senja Pollak et al.
SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment
Yuqing Huang, Rongyang Zhang, Qimeng Wang et al.
Make Every Letter Count: Building Dialect Variation Dictionaries from Monolingual Corpora
Robert Litschko, Verena Blaschke, Diana Burkhardt et al.
This is not a Disimprovement: Improving Negation Reasoning in Large Language Models via Prompt Engineering
Joshua Jose Dias Barreto, Abhik Jana