1 citations · 1 across the 9 of their papers we have counts for
11 papers
CodeForge-MA: Execution-Verified Multi-Agent Learning with Language-Conditioned LoRA for Multilingual Code Generation
Zhizhou Gu, Xianting Wu, Siyu Gu +2
Large language models for code generation often fail on execution, multilingual coverage, and contamination control, especially under frozen backbone constraints. We present CodeFo…
Hierarchical Belief Modeling for Zero-Shot Opponent Adaptation in Partially Observable Multi-Agent Navigation
Kowei Shih, Lu Cheng, Zeyu Wang +2
Lux AI Season 3 requires agents to act under partial observability, randomized episode level dynamics, and a best of five match structure that rewards both tactical execution and f…
Dependency-Aware Chain-of-Thought Compression for Financial Reasoning
Wenjun Wu, Lei Fu, Kejian Tong +2
Chain of thought prompting improves complex reasoning, but its long intermediate traces create substantial inference cost and hinder practical deployment in financial settings. We…
ARCANA: A Reflective Multi-Agent Program Synthesis Framework for ARC-AGI-2 Reasoning
Kunbo Zhang, Lei Fu, Zeyu Wang +2
We present ARCANA, a collaborative multi agent framework for solving ARC AGI 2 tasks under strict test time and hardware constraints. ARCANA decomposes each task into iterative per…
SemHash-LLM: A Multi-Granularity Semantic Hashing Framework for Document Deduplication
Xinyi Fang, Kejian Tong, Jiabei Liu +2
Large scale document deduplication must preserve semantic equivalence while remaining efficient over massive corpora. We present SemHash LLM, a multi granularity framework that uni…
Hypergraph and Latent ODE Learning for Multimodal Root Cause Localization in Microservices
Xin Liu, Yuhang He, Sichen Zhao +2
Root cause localization in cloud native microservice systems requires modeling complex service dependencies, irregular temporal dynamics, and heterogeneous observability data. We p…
Adaptive Serverless Resource Management via Slot-Survival Prediction and Event-Driven Lifecycle Control
Zeyu Wang, Cuiqianhe Du, Renyue Zhang +3
Serverless computing eliminates infrastructure management overhead but introduces significant challenges regarding cold start latency and resource utilization. Traditional static r…
Tool-Augmented Hybrid Ensemble Reasoning with Distillation for Bilingual Mathematical Problem Solving
Peiqing Lu, Yuan Zhang, Haoyun Zhang +3
Bilingual mathematical problem solving needs a clear link between language reasoning and symbolic calculation. Large language models often handle language well but are weak in accu…
Memory-Augmented Knowledge Fusion with Safety-Aware Decoding for Domain-Adaptive Question Answering
Lei Fu, Xiang Chen, Kaige Gao Xinyue Huang +1
Domain-specific question answering (QA) systems for services face unique challenges in integrating heterogeneous knowledge sources while ensuring both accuracy and safety. Existing…
Enhancing Document-Level Question Answering via Multi-Hop Retrieval-Augmented Generation with LLaMA 3
Xinyue Huang, Ziqi Lin, Fang Sun +3
This paper presents a novel Retrieval-Augmented Generation (RAG) framework tailored for complex question answering tasks, addressing challenges in multi-hop reasoning and contextua…
An Integrated Machine Learning and Deep Learning Framework for Credit Card Approval Prediction
Kejian Tong, Zonglin Han, Yanxin Shen +2
Credit scoring is vital in the financial industry, assessing the risk of lending to credit card applicants. Traditional credit scoring methods face challenges with large datasets a…