Papers
ROSE: A Reward-Oriented Data Selection Framework for LLM Task-Specific Instruction Tuning
Yang Wu, Huayi Zhang, Yizheng Jiao et al.
Sensitivity-LoRA : Low-Load Sensitivity-Based Fine-Tuning for Large Language Models
Hao Zhang, Bo Huang, Zhenjia Li et al.
HAWK: Highlighting Entity-aware Knowledge for Alleviating Information Sparsity in Long Contexts
Seonmin Koo, Jinsung Kim, Chanjun Park et al.
MMA: Cross-Domain Knowledge Integration via Mixture of Multi-Domain Agents
Kehang Jia, Juntao Li, Xiaobo Liang et al.
MoVoC: Morphology-Aware Subword Construction for Ge’ez Script Languages
Hailay Kidu Teklehaymanot, Dren Fazlija, Wolfgang Nejdl
DocMMIR: A Framework for Document Multi-modal Information Retrieval
Zirui Li, Siwei Wu, Yizhi Li et al.
BiMax: Bidirectional MaxSim Score for Document-Level Alignment
Xiaotian Wang, Takehito Utsuro, Masaaki Nagata
MARIO-0.5B: A Multi-Agent Lightweight Model for Real-Time Open Information Extraction in Low-Resource Settings
Donghai Zhang, SHuangtao Yang, Dong Xiaozheng et al.
Can LLMs Truly Plan? A Comprehensive Evaluation of Planning Capabilities
Gayeon Jung, HyeonSeok Lim, Minjun Kim et al.
CoAT: Chain-of-Associated-Thoughts Framework for Enhancing Large Language Models Reasoning
Jianfeng Pan, Senyou Deng, Shaomang Huang
DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression
Wei Huang, Huang Wei, Yinggui Wang
RevPRAG: Revealing Poisoning Attacks in Retrieval-Augmented Generation through LLM Activation Analysis
Xue Tan, Hao Luan, Mingyu Luo et al.
ACEBench: A Comprehensive Evaluation of LLM Tool Usage
Chen Chen, Xinlong Hao, Weiwen Liu et al.
Logic-Thinker: Teaching Large Language Models to Think more Logically.
Chengyao Wen, Qiang Cheng, Shaofei Wang et al.
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.