activity
20202026
most citedDomain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey

74 citations · 120 across the 44 of their papers we have counts for

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7 papers · 1 filter

cs.AI2026

ActionNex: A Virtual Outage Manager for Cloud Computing

Zhenfeng Lin, Haoji Hu, Ming Hao +11

Outage management in large-scale cloud operations remains heavily manual, requiring rapid triage, cross-team coordination, and experience-driven decisions under partial observabili…

cs.AI2026

WebXSkill: Skill Learning for Autonomous Web Agents

Zhaoyang Wang, Qianhui Wu, Xuchao Zhang +12

Autonomous web agents powered by large language models (LLMs) remain brittle on long-horizon browser workflows. A key bottleneck is a grounding gap in existing skill formulations:…

cs.AI2026

Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity

Menglin Xia, Xuchao Zhang, Shantanu Dixit +6

Agent memory systems must accommodate continuously growing information while supporting efficient, context-aware retrieval for downstream tasks. Abstraction is essential for scalin…

cs.AI2025

LEGOMem: Modular Procedural Memory for Multi-agent LLM Systems for Workflow Automation

Dongge Han, Camille Couturier, Daniel Madrigal Diaz +3

We introduce LEGOMem, a modular procedural memory framework for multi-agent large language model (LLM) systems in workflow automation. LEGOMem decomposes past task trajectories int…

cs.AI2025

Synergistic Weak-Strong Collaboration by Aligning Preferences

Yizhu Jiao, Xuchao Zhang, Zhaoyang Wang +7

Current Large Language Models (LLMs) excel in general reasoning yet struggle with specialized tasks requiring proprietary or domain-specific knowledge. Fine-tuning large models for…

cs.AI2023★ 7 cited

Knowledge-enhanced Neural Machine Reasoning: A Review

Tanmoy Chowdhury, Chen Ling, Xuchao Zhang +5

Knowledge-enhanced neural machine reasoning has garnered significant attention as a cutting-edge yet challenging research area with numerous practical applications. Over the past f…

cs.AI2022

DeepGAR: Deep Graph Learning for Analogical Reasoning

Chen Ling, Tanmoy Chowdhury, Junji Jiang +4

Analogical reasoning is the process of discovering and mapping correspondences from a target subject to a base subject. As the most well-known computational method of analogical re…