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a study finds that longer chain-of-thought reasoning in ai models correlates with increased position bias in multiple-choice questions, challenging the assumption that more thinking reduces shallow biases.
hugging face adds private speech datasets to its asr leaderboard to reduce benchmark gaming and provide a more realistic view of model performance across accents and speaking styles.
migrating from vllm v0 to v1 for online reinforcement learning required fixing logprob semantics, runtime defaults, weight updates, and fp32 head precision to match training dynamics.
a new method learns optimal key-value cache compression directly from task objectives, improving long-context llm efficiency without heuristic rules.
a new method allocates different bit-widths to attention heads in kv cache quantization, avoiding distortion model mismatch to improve large language model serving efficiency.
emo is a mixture-of-experts model trained so that experts self-organize into task-specific groups, allowing strong performance with only a small subset of experts.
google deepmind's alphaevolve, a gemini-powered coding agent, is now optimizing algorithms across genomics, grid optimization, quantum physics, and commercial applications, showing broad real-world impact.