Beneath the Diff: Diagnosing and Mitigating Algorithmic Mode Collapse in Code-Level Autonomous Research Loops

arXiv:2609.00077 · cs.CL, cs.SE · Submitted 2026-08-31 · Read on arXiv

cs.CL, cs.SE

Submitted: 2026-08-31

Updated: 2026-08-31

Comments: Accepted by EMNLP 2026

Code: https://github.com/Aider-AI/aider

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Mode Collapse — 14× in this paper · explained in 2 episodes
• Accuracy — 11× in this paper · explained in 1 episode
• Benchmark — 8× in this paper · explained in 2 episodes
• Clustering — 8× in this paper · explained in 2 episodes
• Perplexity — 8× in this paper · explained in 3 episodes
• Regularization — 7× in this paper · explained in 3 episodes
• Robustness — 7× in this paper · explained in 5 episodes
• Embeddings — 5× in this paper · explained in 2 episodes
• Calibration — 4× in this paper · explained in 7 episodes
• Diversity-Aware Proposal Sampling — 4× in this paper
• Ablation — 3× in this paper · explained in 1 episode
• Category-Coverage Reweighting — 3× in this paper
• Distribution Shift — 3× in this paper · explained in 5 episodes
• Entropy Collapse — 3× in this paper · explained in 2 episodes
• Persistent Edit Memory — 3× in this paper
• AI Agents — 2× in this paper · explained in 2 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Reward Hacking — 1× in this paper · explained in 8 episodes
• Scaling Laws — 1× in this paper · explained in 4 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Verifier — 1× in this paper · explained in 2 episodes

Sources

• Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
• Training Verifiers to Solve Math Word Problems
• Accelerating scientific discovery with Co-Scientist
• The Llama 3 Herd of Models
• Preventing Curriculum Collapse in Self-Evolving Reasoning Systems
• DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
• R-Diverse: Mitigating Diversity Illusion in Self-Play LLM Training
• The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
• UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
• Why LLMs Aren't Scientists Yet: Lessons from Four Autonomous Research Attempts
• AutoResearchBench: Benchmarking AI Agents on Complex Scientific Literature Discovery
• Qwen2.5 Technical Report
• Instruction-Following Evaluation for Large Language Models

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