activity
20232026
most citedCRISPR-GPT for Agentic Automation of Gene-editing Experiments

9 citations · 40 across the 19 of their papers we have counts for

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5 papers · 1 filter

cs.AI2025★ 1 cited

On Path to Multimodal Historical Reasoning: HistBench and HistAgent

Jiahao Qiu, Fulian Xiao, Yimin Wang +96

Recent advances in large language models (LLMs) have led to remarkable progress across domains, yet their capabilities in the humanities, particularly history, remain underexplored…

cs.AI2025

Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolution

Jiahao Qiu, Xuan Qi, Tongcheng Zhang +15

Recent advances in large language models (LLMs) have enabled agents to autonomously perform complex, open-ended tasks. However, many existing frameworks depend heavily on manually…

cs.AI2024★ 6 cited

SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal

Tinghao Xie, Xiangyu Qi, Yi Zeng +13

Evaluating aligned large language models' (LLMs) ability to recognize and reject unsafe user requests is crucial for safe, policy-compliant deployments. Existing evaluation efforts…

cs.AI2024★ 9 cited

CRISPR-GPT for Agentic Automation of Gene-editing Experiments

Yuanhao Qu, Kaixuan Huang, Ming Yin +11

The introduction of genome engineering technology has transformed biomedical research, making it possible to make precise changes to genetic information. However, creating an effic…

cs.AI2024★ 6 cited

Embodied LLM Agents Learn to Cooperate in Organized Teams

Xudong Guo, Kaixuan Huang, Jiale Liu +6

Large Language Models (LLMs) have emerged as integral tools for reasoning, planning, and decision-making, drawing upon their extensive world knowledge and proficiency in language-r…