ReFormBench: Benchmarking the Stability of Response-Conditioned Format Correction in Large Language Models
cs.AI
Submitted: 2026-10-14
Updated: 2026-10-14
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
- DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
- GLM-5: from Vibe Coding to Agentic Engineering
- Harness-IF: Evaluating Instruction Following Across Instruction Surfaces in Coding Agents
- ThoughtTrace: Understanding User Thoughts in Real-World LLM Interactions
- Kimi K3: Open Frontier Intelligence
- WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild
- Learning to Generate Structured Output with Schema Reinforcement Learning
- gpt-oss-120b & gpt-oss-20b Model Card
- FOFO: A Benchmark to Evaluate LLMs' Format-Following Capability
- Qwen3 Technical Report
- StructEval: Benchmarking LLMs' Capabilities to Generate Structural Outputs
- Inverse IFEval: Can LLMs Unlearn Stubborn Training Conventions to Follow Real Instructions?
- Instruction-Following Evaluation for Large Language Models
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