qhjqhj00 / awesome-agentic-searchLinks
π Awesome Agentic Search is a curated list of papers, tools, and resources on agentic searchβwhere AI agents plan, search, and reason to answer complex questions. Explore the latest research, benchmarks, and industry solutions for next-gen search-enhanced AI! π€β¨
β31Updated last week
Alternatives and similar repositories for awesome-agentic-search
Users that are interested in awesome-agentic-search are comparing it to the libraries listed below
Sorting:
- β46Updated 7 months ago
- The demo, code and data of FollowRAGβ73Updated 2 months ago
- Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)β59Updated 8 months ago
- β19Updated last month
- [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracyβ63Updated 6 months ago
- β28Updated last month
- Implementation for the research paper "Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision".β54Updated 6 months ago
- Official code for paper "SPA-RL: Reinforcing LLM Agent via Stepwise Progress Attribution"β25Updated 3 weeks ago
- A comrephensive collection of learning from rewards in the post-training and test-time scaling of LLMs, with a focus on both reward modelβ¦β45Updated last week
- SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory Synthesisβ64Updated 3 weeks ago
- [ICML'2024] Can AI Assistants Know What They Don't Know?β81Updated last year
- Implementation for the paper "The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning"β59Updated last week
- [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"β69Updated last year
- β16Updated 7 months ago
- RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignmentβ16Updated 6 months ago
- Official codebase for "GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning".β75Updated 2 weeks ago
- CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation Generationβ53Updated last month
- [ICLR 25 Oral] RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Styleβ48Updated last month
- β44Updated last year
- The code and data of DPA-RAG, accepted by WWW 2025 main conference.β61Updated 5 months ago
- β34Updated last month
- β20Updated 5 months ago
- [NAACL 2025] The official implementation of paper "Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language Mβ¦β26Updated last year
- β67Updated last year
- [ACL-25] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.β63Updated 7 months ago
- [ACL 2024 (Oral)] A Prospector of Long-Dependency Data for Large Language Modelsβ55Updated 11 months ago
- Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill?β28Updated 2 weeks ago
- A Survey on the Honesty of Large Language Modelsβ57Updated 6 months ago
- β74Updated last year
- A comprehensive collection of process reward models.β92Updated 2 weeks ago