Papers
StatsChartMWP: A Dataset for Evaluating Multimodal Mathematical Reasoning Abilities on Math Word Problems with Statistical Charts
Dan Zhu, Tianqiao Liu, Zitao Liu
Graph-Reward-SQL: Execution-Free Reinforcement Learning for Text-to-SQL via Graph Matching and Stepwise Reward
Han Weng, Puzhen Wu, Cui Longjie et al.
DPF-CM: A Data Processing Framework with Privacy-Preserving Vector Databases for Chinese Medical LLMs Training and Deployment
Wei Huang, Anda Cheng, Zhao Zhang et al.
Exploiting Prompt-induced Confidence for Black-Box Attacks on LLMs
Meina Chen, Yihong Tang, Kehai Chen
Training LLMs for Optimization Modeling via Iterative Data Synthesis and Structured Validation
Yang Wu, Yifan Zhang, Yurong Wu et al.
SwiftPrune: Hessian-Free Weight Pruning for Large Language Models
Yuhan Kang, Yang Shi, Mei Wen et al.
Two Challenges, One Solution: Robust Multimodal Learning through Dynamic Modality Recognition and Enhancement
Lanxin Bi, Yunqi Zhang, Luyi Wang et al.
LimaCost: Data Valuation for Instruction Tuning of Large Language Models
Hyeonseok Moon, Jaehyung Seo, Seonmin Koo et al.
MultiPL-MoE: Multi-Programming-Lingual Extension of Large Language Models through Hybrid Mixture-of-Experts
Qing Wang, Xue Han, Jiahui Wang et al.
Explainable Text Classification with LLMs: Enhancing Performance through Dialectical Prompting and Explanation-Guided Training
Huaming Du, Lei Yuan, Cancan Feng et al.
Comprehensive Evaluation on Lexical Normalization: Boundary-Aware Approaches for Unsegmented Languages
Shohei Higashiyama, Masao Utiyama
Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances, Resources, and Future Directions
Yaozu Wu, Dongyuan Li, Yankai Chen et al.
Thunder-DeID: Accurate and Efficient De-identification Framework for Korean Court Judgments
Sungeun Hahm, Heejin Kim, Gyuseong Lee et al.
Idola Tribus of AI: Large Language Models tend to perceive order where none exists
Shin-nosuke Ishikawa, Masato Todo, Taiki Ogihara et al.
Text Anomaly Detection with Simplified Isolation Kernel
Yang Cao, Sikun Yang, Yujiu Yang et al.
Agentic Medical Knowledge Graphs Enhance Medical Question Answering: Bridging the Gap Between LLMs and Evolving Medical Knowledge
Mohammad Reza Rezaei, Reza Saadati Fard, Jayson Lee Parker et al.
ForestCast: Open-Ended Event Forecasting with Semantic News Forest
Zi Yu, Shaoxiang Wang, Guozheng Li et al.
Inductive Reasoning on Few-Shot Knowledge Graphs with Task-Aware Language Models
Cheng Yan, Feng Zhao, Ruilin Zhao et al.
LoRaDA: Low-Rank Direct Attention Adaptation for Efficient LLM Fine-tuning
Zhangming Li, Qinghao Hu, Yiqun Chen et al.
PsyScam: A Benchmark for Psychological Techniques in Real-World Scams
Shang Ma, Tianyi Ma, Jiahao Liu et al.
LLM-Based Web Data Collection for Research Dataset Creation
Thomas Berkane, Marie-Laure Charpignon, Maimuna S. Majumder
What if Othello-Playing Language Models Could See?
Xinyi Chen, Yifei Yuan, Jiaang Li et al.
MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree Search
Yunhai Hu, Yilun Zhao, Chen Zhao et al.
Schema Generation for Large Knowledge Graphs Using Large Language Models
Bohui Zhang, Yuan He, Lydia Pintscher et al.