For Engineers
Reproducible experiments, benchmarks, architecture breakdowns, and production lessons learned the hard way. Precise terminology, code blocks welcome.
Notes from Day 2's first oral session at ICLR 2026. Five papers on learning rate schedules, MoE sparsity, curriculum data, softmax expressivity, and pre-training under infinite compute.
Notes from the second oral session at ICLR 2026. Six papers on reward hacking detection, multi-turn reliability (the Best Paper), micro-benchmarking, value-difference generation, preference interpretability, and mutual-judgment alignment.
Notes from the first oral session at ICLR 2026. Five papers on active reasoning, long-context memory, CoT verification, retriever training, and model merging.
Tune in to the details
Notes from Day 2's first oral session at ICLR 2026. Five papers on learning rate schedules, MoE sparsity, curriculum data, softmax expressivity, and pre-training under infinite compute.
Notes from the second oral session at ICLR 2026. Six papers on reward hacking detection, multi-turn reliability (the Best Paper), micro-benchmarking, value-difference generation, preference interpretability, and mutual-judgment alignment.
Notes from the first oral session at ICLR 2026. Five papers on active reasoning, long-context memory, CoT verification, retriever training, and model merging.
