2 citations · 2 across the 10 of their papers we have counts for
10 papers
Graphs of Research: Citation Evolution Graphs as Supervision for Research Idea Generation
Songyang Gao, Yinghui Xia, Siyi Liu +1
Research idea generation is the innovation-driving step of automated scientific research. Recently, large language models (LLMs) have shown potential for automating idea generation…
ComfySearch: Autonomous Exploration and Reasoning for ComfyUI Workflows
Jinwei Su, Qizhen Lan, Zeyu Wang +7
AI-generated content has progressed from monolithic models to modular workflows, especially on platforms like ComfyUI, allowing users to customize complex creative pipelines. Howev…
Difficulty-Aware Agentic Orchestration for Query-Specific Multi-Agent Workflows
Jinwei Su, Qizhen Lan, Yinghui Xia +6
Large Language Model (LLM)-based agentic systems have shown strong capabilities across various tasks. However, existing multi-agent frameworks often rely on static or task-level wo…
MARS: Memory-Enhanced Agents with Reflective Self-improvement
Xuechen Liang, Meiling Tao, Yinghui Xia +8
Large language models (LLMs) have made significant advances in the field of natural language processing, but they still face challenges such as continuous decision-making, lack of…
DebFlow: Automating Agent Creation via Agent Debate
Jinwei Su, Yinghui Xia, Yiqun Duan +4
Large language models (LLMs) have demonstrated strong potential and impressive performance in automating the generation and optimization of workflows. However, existing approaches…
Self-evolving Agents with reflective and memory-augmented abilities
Xuechen Liang, Yangfan He, Yinghui Xia +11
Large language models (LLMs) have made significant advances in the field of natural language processing, but they still face challenges such as continuous decision-making. In this…
LanguaShrink: Reducing Token Overhead with Psycholinguistics
Xuechen Liang, Meiling Tao, Yinghui Xia +3
As large language models (LLMs) improve their capabilities in handling complex tasks, the issues of computational cost and efficiency due to long prompts are becoming increasingly…
Reflective Human-Machine Co-adaptation for Enhanced Text-to-Image Generation Dialogue System
Yuheng Feng, Yangfan He, Yinghui Xia +3
Today's image generation systems are capable of producing realistic and high-quality images. However, user prompts often contain ambiguities, making it difficult for these systems…
AICoderEval: Improving AI Domain Code Generation of Large Language Models
Yinghui Xia, Yuyan Chen, Tianyu Shi +2
Automated code generation is a pivotal capability of large language models (LLMs). However, assessing this capability in real-world scenarios remains challenging. Previous methods…
CMAT: A Multi-Agent Collaboration Tuning Framework for Enhancing Small Language Models
Xuechen Liang, Yangfan He, Meiling Tao +5
Open large language models (LLMs) have significantly advanced the field of natural language processing, showcasing impressive performance across various tasks.Despite the significa…