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Reinforcement Learning via Self-Distillation
or, The Student Becomes the Master
16 hrs ago
•
Tim Dingman
EdgeBench: Unveiling Scaling Laws of Learning from Real-World Environments
or, Learning to Learn From Experience
Jul 22
•
Tim Dingman
RLAnything + OpenClaw-RL
Originally presented as a live talk on March 25, 2026
Jul 20
•
Tim Dingman
DSpark: Confidence-Scheduled Speculative Decoding with Semi-Autoregressive Generation
or, Diffusion in Production
Jul 17
•
Tim Dingman
mHC vs Attention Residuals
Originally presented as a live talk on April 1, 2026
Jul 13
•
Tim Dingman
1
OSWorld 2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks
or, The Year of CUA
Jul 8
•
Tim Dingman
1
1
DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
or, Necessity Is the Mother of Invention
Jul 6
•
Tim Dingman
Qwen-AgentWorld: Language World Models for General Agents
or, A Mirror for Agents
Jul 1
•
Tim Dingman
June 2026
ZAYA1-8B Technical Report
or, Swapping Space for Time
Jun 29
•
Tim Dingman
Agents’ Last Exam
or, Benchmarks Are Hard
Jun 24
•
Tim Dingman
1
1
Rewarding the Rare: Uniqueness-Aware RL for Creative Problem Solving in LLMs
or, Fox Math
Jun 22
•
Tim Dingman
1
1
Nemotron 3 Ultra
or, The American Open-Weights King
Jun 18
•
Tim Dingman
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