Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs Paper • 2305.03111 • Published May 4, 2023 • 11
Iterative Forward Tuning Boosts In-Context Learning in Language Models Paper • 2305.13016 • Published May 22, 2023 • 1
One Shot Learning as Instruction Data Prospector for Large Language Models Paper • 2312.10302 • Published Dec 16, 2023 • 3
Synthesizing Text-to-SQL Data from Weak and Strong LLMs Paper • 2408.03256 • Published Aug 6, 2024 • 10
ExecRepoBench: Multi-level Executable Code Completion Evaluation Paper • 2412.11990 • Published Dec 16, 2024
Multi-Agent Collaboration for Multilingual Code Instruction Tuning Paper • 2502.07487 • Published Feb 11, 2025
SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner Paper • 2506.09003 • Published Jun 10, 2025 • 18
Turning the Tide: Repository-based Code Reflection Paper • 2507.09866 • Published Jul 14, 2025 • 1
SWE-RM: Execution-free Feedback For Software Engineering Agents Paper • 2512.21919 • Published Dec 26, 2025 • 10
MegaFlow: Large-Scale Distributed Orchestration System for the Agentic Era Paper • 2601.07526 • Published 23 days ago • 23
SWE-Universe: Scale Real-World Verifiable Environments to Millions Paper • 2602.02361 • Published 2 days ago • 42
SWE-Universe: Scale Real-World Verifiable Environments to Millions Paper • 2602.02361 • Published 2 days ago • 42
MegaFlow: Large-Scale Distributed Orchestration System for the Agentic Era Paper • 2601.07526 • Published 23 days ago • 23
The Lessons of Developing Process Reward Models in Mathematical Reasoning Paper • 2501.07301 • Published Jan 13, 2025 • 99
CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings Paper • 2501.01257 • Published Jan 2, 2025 • 51