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20242026
most citedRetroDFM-R: Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning

2 citations · 2 across the 14 of their papers we have counts for

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10 papers · 1 filter

eess.AS2026

SURE-EVAL: A Systematic and Unified Agentic Framework for Reproducible Evaluation

Jing Peng, Junhao Du, Yixuan Wang +21

Audio and speech models are released rapidly, but reported scores often conflate model capability with deployment and evaluation choices. The same checkpoint can produce different…

cs.AI2026

Making AI Scientists Auditable from Evidence to Claim

Zijian Wang, Hanqi Li, Ziyue Yang +17

AI research systems can report improved results without establishing that the tested implementation matches the method described in their conclusions. We introduce Xcientist, a res…

cs.MA2026

Distributed Agent System: Fault-Tolerant Collaboration Among Embodied Agents

Kai Yu, Lu Chen, Hanqi Li

AI engineering is shifting from passive text generation by large language models (LLMs) to agent-driven task execution, creating new reliability challenges for long-horizon tasks u…

eess.AS2026

A Unified and Reproducible Experimentation Framework for Speech Understanding

Jing Peng, Junhao Du, Chenghao Wang +21

Speech foundation models and Speech LLMs have advanced speech understanding, yet deployment-oriented model selection is hindered by non-comparable evaluations caused by mismatched…

cs.AI2026

DeepSurvey: Agent-Oriented Automated Survey Generation with Analytical Depth and Citation Reliability

Ziyue Yang, Da Ma, Hanqi Li +8

As scientific literature grows rapidly and research increasingly involves AI agents, automated survey generation has become a key capability for both agents and human researchers.…

eess.AS2026

Audio-Mind: An Auditable Agentic Framework for Audio Understanding

Yucheng Wang, Jing Peng, Hanqi Li +6

Audio agents extend large audio-language models (LALMs) by decomposing audio questions into tool calls, intermediate evidence, and iterative reasoning steps. However, as LALMs beco…

cs.CV2026

VCap: Hypergeometric Rewards for Weak-to-Strong Visual Captioning

Xingyu Lu, Jinpeng Wang, Yi-Fan Zhang +13

Visual captioning requires models to capture visual content faithfully while minimizing both omission and hallucination. As the dominant paradigm for captioning, MLLMs have achieve…

cs.CV2026

MetaphorVU: Towards Metaphorical Video Understanding

Zhuoqun Li, Boxi Cao, Guiping Jiang +13

Metaphorical videos are prevalent across various real-world scenarios to convey complex ideas, and understanding them typically requires high-order cognitive capabilities. The lack…

cs.AI2026

Diagnosing CFG Interpretation in LLMs

Hanqi Li, Lu Chen, Kai Yu

As LLMs are increasingly integrated into agentic systems, they must adhere to dynamically defined, machine-interpretable interfaces. We evaluate LLMs as in-context interpreters: gi…

cs.LG2026

PaperGuide: Making Small Language-Model Paper-Reading Agents More Efficient

Zijian Wang, Tiancheng Huang, Hanqi Li +3

The accelerating growth of the scientific literature makes it increasingly difficult for researchers to track new advances through manual reading alone. Recent progress in large la…