Papers
Rethinking LLM Uncertainty: A Multi-Agent Approach to Estimating Black-Box Model Uncertainty
Yu Feng, Phu Mon Htut, Zheng Qi et al.
Summarize-Exemplify-Reflect: Data-driven Insight Distillation Empowers LLMs for Few-shot Tabular Classification
Yifei Yuan, Jiatong Li, Weijia Zhang et al.
ClaimGen-CN: A Large-scale Chinese Dataset for Legal Claim Generation
Siying Zhou, Yiquan Wu, Hui Chen et al.
FESTA: Functionally Equivalent Sampling for Trust Assessment of Multimodal LLMs
Debarpan Bhattacharya, Apoorva Kulkarni, Sriram Ganapathy
MASSV: Multimodal Adaptation and Self-Data Distillation for Speculative Decoding of Vision-Language Models
Mugilan Ganesan, Shane Segal, Ankur Aggarwal et al.
MOLE: Metadata Extraction and Validation in Scientific Papers Using LLMs
Zaid Alyafeai, Maged S. Al-shaibani, Bernard Ghanem
Language-Informed Synthesis of Rational Agent Models for Grounded Theory-of-Mind Reasoning On-the-fly
Lance Ying, Ryan Truong, Katherine M. Collins et al.
MoRoVoc: A Large Dataset for Geographical Variation Identification of the Spoken Romanian Language
Andrei-Marius Avram, Bănescu Ema-Ioana, Anda-Teodora Robea et al.
Disentangling Language Understanding and Reasoning Structures in Cross-lingual Chain-of-Thought Prompting
Khanh-Tung Tran, Nguyet-Hang Vu, Barry O’Sullivan et al.
AMIA: Automatic Masking and Joint Intention Analysis Makes LVLMs Robust Jailbreak Defenders
Yuqi Zhang, Yuchun Miao, Zuchao Li et al.
Mitigating Interviewer Bias in Multimodal Depression Detection: An Approach with Adversarial Learning and Contextual Positional Encoding
Enshi Zhang, Christian Poellabauer
REGen: A Reliable Evaluation Framework for Generative Event Argument Extraction
Omar Sharif, Joseph Gatto, Madhusudan Basak et al.
A Survey of RAG-Reasoning Systems in Large Language Models
Yangning Li, Weizhi Zhang, Yuyao Yang et al.
polyBART: A Chemical Linguist for Polymer Property Prediction and Generative Design
Anagha Savit, Harikrishna Sahu, Shivank S. Shukla et al.
CLaw: Benchmarking Chinese Legal Knowledge in Large Language Models - A Fine-grained Corpus and Reasoning Analysis
Xinzhe Xu, Liang Zhao, Hongshen Xu et al.
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.