3 papers
cs.AI2026
LLaTiSA: Towards Difficulty-Stratified Time Series Reasoning from Visual Perception to Semantics
Yueyang Ding, HaoPeng Zhang, Rui Dai +4
Comprehensive understanding of time series remains a significant challenge for Large Language Models (LLMs). Current research is hindered by fragmented task definitions and benchma…
cs.CL2026
RCBSF: A Multi-Agent Framework for Automated Contract Revision via Stackelberg Game
Shijia Xu, Yu Wang, Xiaolong Jia +3
Despite the widespread adoption of Large Language Models (LLMs) in Legal AI, their utility for automated contract revision remains impeded by hallucinated safety and a lack of rigo…
cs.CL2026
Self-Correcting RAG: Enhancing Faithfulness via MMKP Context Selection and NLI-Guided MCTS
Shijia Xu, Zhou Wu, Xiaolong Jia +3
Retrieval-augmented generation (RAG) substantially extends the knowledge boundary of large language models. However, it still faces two major challenges when handling complex reaso…