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arXiv preprint arXiv:2406.10229 , year=

10 Pith papers cite this work. Polarity classification is still indexing.

10 Pith papers citing it

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2026 7 2025 3

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The Art of Scaling Reinforcement Learning Compute for LLMs

cs.LG · 2025-10-15 · unverdicted · novelty 7.0

A 400k+ GPU-hour study shows RL scaling in LLMs follows predictable sigmoidal trajectories, with most design choices affecting efficiency rather than the performance asymptote, enabling accurate large-scale predictions via the ScaleRL recipe.

Validity Threats for Foundation Model Research

cs.LG · 2026-06-03 · accept · novelty 6.0

Maps common low-compute research strategies for foundation models onto statistical, internal, external, and construct validity threats via a causal-inference lens.

Resolution Diagnostics for Paired LLM Evaluation

cs.CL · 2026-05-28 · unverdicted · novelty 6.0

Paired LLM leaderboard comparisons frequently lack resolution at conventional (alpha=0.05, power=0.8) levels, with a new per-pair ratio q=N/N* showing that common unpaired shortcuts underestimate required samples by roughly a factor of two.

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  • DataComp-VLM: Improved Open Datasets for Vision-Language Models cs.CV · 2026-06-26 · conditional · none · ref 197 · 2 links

    DataComp-VLM benchmark shows instruction-heavy data mixing outperforms filtering for VLM training, with DCVLM-Baseline achieving 63.6% on 33 tasks for 8B models (+5.4pp over FineVision).