技能目录

为 AI Agent 发现可复用技能。

按任务搜索真实的 GitHub 技能,并在使用前查看 Stars、信任、审计、分类和安装路径。

每个推荐都保留与其仓库、审计和安装路径的明确关联。

搜索结果: acl

英文目录

The official repo for “Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting”, ACL, 2025.

9.0K
Stars
75/100
信任
分类: document-processing审计

A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).

3.0K
Stars
73/100
信任
分类: ml-automation审计

MLNLP: This repository is a collection of AI top conferences papers (e.g. ACL, EMNLP, NAACL, COLING, AAAI, IJCAI, ICLR, NeurIPS, and ICML) with open resource code

2.7K
Stars
68/100
信任
分类: robotics-iot审计

[ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings

2.0K
Stars
71/100
信任
分类: rag-knowledge审计

[ACL 2024 🔥] Video-ChatGPT is a video conversation model capable of generating meaningful conversation about videos. It combines the capabilities of LLMs with a pretrained visual encoder adapted for spatiotemporal video representation. We also introduce a rigorous 'Quantitative Evaluation Benchmarking' for video-based conversational models.

1.5K
Stars
73/100
信任
分类: support-automation审计

Official Repo for "TheoremExplainAgent: Towards Video-based Multimodal Explanations for LLM Theorem Understanding" [ACL 2025 oral]

1.5K
Stars
72/100
信任
分类: rag-knowledge审计

A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).

1.3K
Stars
73/100
信任
分类: rag-knowledge审计

BrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent (ACL 2026 Main)

302
Stars
70/100
信任
分类: research审计

🚀 BunkerM: Eclipse Mosquitto MQTT management platform, featuring dynamic security, MQTT ACL management, monitoring,and AI integrations

482
Stars
68/100
信任
分类: agent-frameworks审计

[ACL 2026 Main] FinSight: Towards Real-World Financial Deep Research. 🎯One ticker, one click, one publication-ready report.

220
Stars
69/100
信任
分类: coding-agents审计

🌍 AppWorld: A Controllable World of Apps and People for Benchmarking Function Calling and Interactive Coding Agent, ACL'24 Best Resource Paper.

444
Stars
67/100
信任
分类: agent-frameworks审计