PALIN2018 / BrowseComp-ZHLinks
☆97Updated 3 months ago
Alternatives and similar repositories for BrowseComp-ZH
Users that are interested in BrowseComp-ZH are comparing it to the libraries listed below
Sorting:
- Benchmarking Complex Instruction-Following with Multiple Constraints Composition (NeurIPS 2024 Datasets and Benchmarks Track)☆91Updated 6 months ago
- ☆95Updated last week
- SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory Synthesis☆98Updated 2 months ago
- Scaling Preference Data Curation via Human-AI Synergy☆100Updated last month
- Evergreen, contamination-free, real-world, domain-specific AI evaluation framework☆81Updated 2 months ago
- IKEA: Reinforced Internal-External Knowledge Synergistic Reasoning for Efficient Adaptive Search Agent☆64Updated 3 months ago
- [COLING 2025] ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios☆69Updated 3 months ago
- ☆158Updated 7 months ago
- ☆96Updated 8 months ago
- ☆103Updated 8 months ago
- Code implementation of synthetic continued pretraining☆125Updated 7 months ago
- ☆50Updated last year
- ☆57Updated 10 months ago
- [ICLR'24 spotlight] Tool-Augmented Reward Modeling☆51Updated 2 months ago
- ☆89Updated 3 months ago
- ☆71Updated 7 months ago
- The source code and dataset mentioned in the paper Seal-Tools: Self-Instruct Tool Learning Dataset for Agent Tuning and Detailed Benchmar…☆53Updated 9 months ago
- We aim to provide the best references to search, select, and synthesize high-quality and large-quantity data for post-training your LLMs.☆57Updated 10 months ago
- [ACL-25] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.☆64Updated 10 months ago
- The demo, code and data of FollowRAG☆74Updated 2 months ago
- Fantastic Data Engineering for Large Language Models☆90Updated 8 months ago
- ☆161Updated 4 months ago
- Official implementation of the paper "From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large L…☆51Updated last year
- ☆83Updated last year
- A comrephensive collection of learning from rewards in the post-training and test-time scaling of LLMs, with a focus on both reward model…☆55Updated 2 months ago
- RM-R1: Unleashing the Reasoning Potential of Reward Models☆127Updated 2 months ago
- [EMNLP 2025] Verification Engineering for RL in Instruction Following☆31Updated last week
- [ICML'2024] Can AI Assistants Know What They Don't Know?☆83Updated last year
- The implementation of paper "LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Fee…☆38Updated last year
- WideSearch: Benchmarking Agentic Broad Info-Seeking☆80Updated 3 weeks ago