Papers
Can LLMs be Good Graph Judge for Knowledge Graph Construction?
Haoyu Huang, Chong Chen, Zeang Sheng et al.
LLMs cannot spot math errors, even when allowed to peek into the solution
Kv Aditya Srivatsa, Kaushal Kumar Maurya, Ekaterina Kochmar
Feature Extraction and Steering for Enhanced Chain-of-Thought Reasoning in Language Models
Zihao Li, Xu Wang, Yuzhe Yang et al.
Identifying Unlearned Data in LLMs via Membership Inference Attacks
Advit Deepak, Megan Mou, Jing Huang et al.
Bridging External and Parametric Knowledge: Mitigating Hallucination of LLMs with Shared-Private Semantic Synergy in Dual-Stream Knowledge
Yi Sui, Chaozhuo Li, Chen Zhang et al.
From Scores to Steps: Diagnosing and Improving LLM Performance in Evidence-Based Medical Calculations
Benlu Wang, Iris Xia, Yifan Zhang et al.
Can Vision-Language Models Solve Visual Math Equations?
Monjoy Narayan Choudhury, Junling Wang, Yifan Hou et al.
DischargeSim: A Simulation Benchmark for Educational Doctor–Patient Communication at Discharge
Zonghai Yao, Michael Sun, Won Seok Jang et al.
Static or Dynamic: Towards Query-Adaptive Token Selection for Video Question Answering
Yumeng Shi, Quanyu Long, Wenya Wang
Demystifying Synthetic Data in LLM Pre-training: A Systematic Study of Scaling Laws, Benefits, and Pitfalls
Feiyang Kang, Newsha Ardalani, Michael Kuchnik et al.
AdamS: Momentum Itself Can Be A Normalizer for LLM Pretraining and Post-training
Huishuai Zhang, Bohan Wang, Luoxin Chen
Probing Logical Reasoning of MLLMs in Scientific Diagrams
Yufei Wang, Adriana Kovashka
SelfRACG: Enabling LLMs to Self-Express and Retrieve for Code Generation
Qian Dong, Jia Chen, Qingyao Ai et al.
Knowledge Editing through Chain-of-Thought
Changyue Wang, Weihang Su, Qingyao Ai et al.
Measuring the Effect of Disfluency in Multilingual Knowledge Probing Benchmarks
Kirill Semenov, Rico Sennrich
Are Checklists Really Useful for Automatic Evaluation of Generative Tasks?
Momoka Furuhashi, Kouta Nakayama, Takashi Kodama et al.
IG-Pruning: Input-Guided Block Pruning for Large Language Models
Kangyu Qiao, Shaolei Zhang, Yang Feng
Latent Inter-User Difference Modeling for LLM Personalization
Yilun Qiu, Tianhao Shi, Xiaoyan Zhao et al.
Viability of Machine Translation for Healthcare in Low-Resourced Languages
Hellina Hailu Nigatu, Nikita Mehandru, Negasi Haile Abadi et al.
On the Role of Model Prior in Real-World Inductive Reasoning
Zhuo Liu, Ding Yu, Hangfeng He
CIFLEX: Contextual Instruction Flow for Sub-task Execution in Multi-Turn Interactions with a Single On-Device LLM
Juntae Lee, Jihwan Bang, Seunghan Yang et al.
DSG-MCTS: A Dynamic Strategy-Guided Monte Carlo Tree Search for Diversified Reasoning in Large Language Models
Rui Ha, Chaozhuo Li, Rui Pu et al.
SATER: A Self-Aware and Token-Efficient Approach to Routing and Cascading
Yuanzhe Shen, Yide Liu, Zisu Huang et al.
Calibrating LLM Confidence by Probing Perturbed Representation Stability
Reza Khanmohammadi, Erfan Miahi, Mehrsa Mardikoraem et al.