[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction
Must-read Papers on LLM Agents.
[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.
An Open-sourced Knowledgable Large Language Model Framework.
Must-read Papers on Knowledge Editing for Large Language Models.
[ACL 2023] Reasoning with Language Model Prompting: A Survey
PromptKG Family: a Gallery of Prompt Learning & KG-related research works, toolkits, and paper-list.
OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking
[ACL 2024] An Easy-to-use Instruction Processing Framework for LLMs.
[EMNLP 2020] OpenUE: An Open Toolkit of Universal Extraction from Text
[ICLR 2024] Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models
[NAACL 2025] KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents
[ACL 2024] AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning
[ACL 2024] IEPile: A Large-Scale Information Extraction Corpus
[NeurIPS 2024] Knowledge Circuits in Pretrained Transformers
[EMNLP 2024 Findings] OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs.
[NeurIPS 2024] Agent Planning with World Knowledge Model
[ICLR 2023] Multimodal Analogical Reasoning over Knowledge Graphs
[ACL 2024] Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View
[ICLR 2025] Benchmarking Agentic Workflow Generation
[EMNLP 2022] Generative Knowledge Graph Construction: A Review
[IJCAI 2024] FactCHD: Benchmarking Fact-Conflicting Hallucination Detection
[WWW 2025] A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System.
[ACL 2025] Agentic Knowledgeable Self-awareness
[EMNLP 2024] To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models
[NAACL 2024] Making Language Models Better Tool Learners with Execution Feedback
[EMNLP 2022 Findings] Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study
ChineseHarm-Bench: A Chinese Harmful Content Detection Benchmark