Papers
Revisiting Pruning vs Quantization for Small Language Models
Zihan Zhou, Simon Kurz, Zhixue Zhao
Layer-Aware Task Arithmetic: Disentangling Task-Specific and Instruction-Following Knowledge
Yan-Lun Chen, Yi-Ru Wei, Chia-Yi Hsu et al.
Curr-ReFT: Overcoming Training Bottlenecks in Small-scale Vision-Language Models via Curriculum Reinforcement Finetuning
Huilin Deng, Ding Zou, Xinghao Zhao et al.
ReAlign: Structured Revision for Small Language Model Alignment
Ruijun Chen, Jiajian Guo, Hongzhan Chen et al.
Semantic Geometry of Sentence Embeddings
Matthieu Tehenan
MPTA: MultiTask Personalization Assessment
Matthieu Tehenan, Eric Chamoun, Andreas Vlachos
Exploring and Evaluating Multimodal Knowledge Reasoning Consistency of Multimodal Large Language Models
Boyu Jia, Junzhe Zhang, Huixuan Zhang et al.
LongTableBench: Benchmarking Long-Context Table Reasoning across Real-World Formats and Domains
Liyao Li, Jiaming Tian, Hao Chen et al.
Time to Revisit Exact Match
Auss Abbood, Zaiqiao Meng, Nigel Collier
AgentInit: Initializing LLM-based Multi-Agent Systems via Diversity and Expertise Orchestration for Effective and Efficient Collaboration
Chunhao Tian, Yutong Wang, Xuebo Liu et al.
Do What? Teaching Vision-Language-Action Models to Reject the Impossible
Wen-Han Hsieh, Elvis Hsieh, Dantong Niu et al.
Ferret: Faster and Effective Automated Red Teaming with Reward-Based Scoring Technique
Tej Deep Pala, Vernon Toh, Rishabh Bhardwaj et al.
SuPreME: A Supervised Pre-training Framework for Multimodal ECG Representation Learning
Mingsheng Cai, Jiuming Jiang, Wenhao Huang et al.
Enhancing Model Privacy in Federated Learning with Random Masking and Quantization
Zhibo Xu, Zhu JianHao, Jingwen Xu et al.
From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systems
Zekun Zhou, Xiaocheng Feng, Lei Huang et al.
Let Them Down Easy! Contextual Effects of LLM Guardrails on User Perceptions and Preferences
Mingqian Zheng, Wenjia Hu, Patrick Zhao et al.
Teaching According to Talents! Instruction Tuning LLMs with Competence-Aware Curriculum Learning
Yangning Li, Tingwei Lu, Yinghui Li et al.
RAISE: Reinforced Adaptive Instruction Selection For Large Language Models
Qingsong Lv, Yangning Li, Zihua Lan et al.
Unraveling Misinformation Propagation in LLM Reasoning
Yiyang Feng, Yichen Wang, Shaobo Cui et al.
When Models Lie, We Learn: Multilingual Span-Level Hallucination Detection with PsiloQA
Elisei Rykov, Kseniia Petrushina, Maksim Savkin et al.
Attribution and Application of Multiple Neurons in Multimodal Large Language Models
Feiyu Wang, Ziran Zhao, Dong Yu et al.
FrameEOL: Semantic Frame Induction using Causal Language Models
Chihiro Yano, Kosuke Yamada, Hayato Tsukagoshi et al.
Benchmarking for Domain-Specific LLMs: A Case Study on Academia and Beyond
Rubing Chen, Jiaxin Wu, Jian Wang et al.
Efficiently Selecting Response Generation Strategies for Synthetic Data Construction by Self-Aligned Perplexity
Xuan Ren, Qi Chen, Lingqiao Liu