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Awesome domain-specific β curated papers, datasets & benchmarks Β· Awesome Large Language Models
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17 papers tagged domain-specific β re-sort below
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17 papers Β· trending (default)
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AVO: Agentic Variation Operators for Autonomous Evolutionary Search
(2026)
Terry Chen et al.
4.04
SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks
(2026)
Xiangyi Li et al.
1.94
GEMS: Agent-Native Multimodal Generation with Memory and Skills
(2026)
Zefeng He et al.
1.94
HiL-Bench (Human-in-Loop Benchmark): Do Agents Know When to Ask for Help?
(2026)
Mohamed Elfeki et al.
1.94
Process Reward Agents for Steering Knowledge-Intensive Reasoning
(2026)
Jiwoong Sohn et al.
1.94
Benchmark Everything Everywhere All at Once
(2026)
Shiyun Xiong et al.
1.94
Programming with Data: Test-Driven Data Engineering for Self-Improving LLMs from Raw Corpora
(2026)
Chenkai Pan et al.
1.83
Heterogeneous Scientific Foundation Model Collaboration
(2026)
Zihao Li et al.
1.83
OCRVerse: Towards Holistic OCR in End-to-End Vision-Language Models
(2026)
Yufeng Zhong et al.
1.67
Competitive Programming with Large Reasoning Models
(2025)
OpenAI et al.
1.28
Beyond 'Aha!': Toward Systematic Meta-Abilities Alignment in Large Reasoning Models
(2025)
Zhiyuan Hu et al.
1.28
An Agentic System for Rare Disease Diagnosis with Traceable Reasoning
(2025)
Weike Zhao et al.
1.28
Retrieval-augmented reasoning with lean language models
(2025)
Ryan Sze-Yin Chan et al.
1.28
Interactive Task Planning with Language Models
(2023)
Boyi Li et al.
β
ICE-GRT: Instruction Context Enhancement by Generative Reinforcement based Transformers
(2024)
Chen Zheng et al.
β
Weaver: Foundation Models for Creative Writing
(2024)
Tiannan Wang et al.
β
VideoICL: Confidence-based Iterative In-context Learning for Out-of-Distribution Video Understanding
(2024)
Kangsan Kim et al.
β