#large language models
514 papers · 1 filter
OptGraph: Large Language Models Enhanced Evolutionary Optimization Via Graph Retrieval-Augmented Generation
Xianchao Xiu, Jianhao Li, Huangyue Chen +1
The paper introduces OptGraph, a system that enhances automated evolutionary optimization by using large language models together with a graph‑based retrieval‑augmented generation…
Exact Action Values Are Not Enough: Rollout-Verified Reinforcement Fine-Tuning of a Reasoning Model for Multi-Zone VAV Control
Takumi Shioda, Kohei Terashima, Tatsuo Nagai
The paper investigates using a reasoning language model and TD3-guided reinforcement fine‑tuning to control multi‑zone variable‑air‑volume HVAC systems without building‑specific tr…
IFHierBench: Hierarchical Instruction Following for Large Language Models
Yuetian Mao, Chunyang Chen
The paper introduces IFHierBench, a benchmark for evaluating how well large language models follow hierarchical, nested constraints in instruction prompts, and shows current models…
A comparative analysis of automated techniques for security bug report identification
Muhammad Laiq
The paper compares various automated methods, including traditional machine‑learning models and large language models, for identifying security‑related bug reports, finding that th…
FinanceHarness: Autonomous Financial Deep Research Framework
Yijia Xiao, Rujun Han, Yanfei Chen +8
The paper introduces FinanceHarness, a framework that uses large language models and autonomous agents to automate end‑to‑end financial deep research, and presents FinanceGym, a be…
AutoSupervision: Closing the Feedback Loop in Scientific Workflows with Grounded Revision Verification
Haobo Li, Eunseo Jung, Wenxiao Zhao +8
The paper presents AutoSupervision, a system that automatically verifies whether manuscript revisions truly address reviewer comments by grounding the verification in evidence from…