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cs.CL2026

Multimodal Filesystem Memory For Long-Horizon Embodied Agents

Chloe Su, Jiahan Li, Zhenting Qi +5

Agents operating over long horizons need an effective memory that allows them to reuse their experience throughout long interactions. If the entire history of an interaction is ret…

cs.CL2026

Scaling Multi-Agent Intelligence with Substrate-Centric Coordination

Zhenting Qi, Zhuokai Zhao, Rulin Shao +7

Existing large language model (LLM) based multi-agent systems have been shown to scale poorly, and we identify three problems: reading burden that grows with the group, useful info…

cs.CL2026

On the Generalization Gap in Self-Evolving Language Model Reasoning

Zhenting Qi, Susanna Maria Baby, Stefanie Anna Baby +5

Recent work suggests that large language models (LLMs) can improve through self-evolution (SE), using supervision signals generated by the model itself. In this work, we ask: under…

cs.CL2026

Economy of Minds: Emerging Multi-Agent Intelligence with Economic Interactions

Zhenting Qi, Huangyuan Su, Ao Qu +13

How can a population of agents self-orchestrate and self-adapt into stronger collective intelligence without centralized control? Inspired by Friedrich Hayek's economic theory of d…

cs.CL2026

Dr. DocBench: A Comprehensive Benchmark for Expert-Level and Difficult Document Parsing

Minglai Yang, Xinyan Velocity Yu, Pengyuan Li +22

Document parsing and recognition are fundamental capabilities for vision-language models (VLMs) and document processing systems. However, existing Optical Character Recognition (OC…

cs.CL2026

Self-Improving Language Models with Bidirectional Evolutionary Search

Guowei Xu, Zhenting Qi, Huangyuan Su +4

Search has been proposed as an effective method for self-improving language models and agentic systems, both for post-training sample generation and for inference. However, widely…

cs.CL2026

MoCo: A One-Stop Shop for Model Collaboration Research

Shangbin Feng, Yuyang Bai, Ziyuan Yang +17

Advancing beyond single monolithic language models (LMs), recent research increasingly recognizes the importance of model collaboration, where multiple LMs collaborate, compose, an…

cs.CL2025

Confucius Code Agent: Scalable Agent Scaffolding for Real-World Codebases

Sherman Wong, Zhenting Qi, Zhaodong Wang +8

Real-world software engineering tasks require coding agents that can operate on massive repositories, sustain long-horizon sessions, and reliably coordinate complex toolchains at t…