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Ravi Netravali

2 accepted papers

2026

Less Is More: Fast and Accurate Reasoning with Cross-Head Unified Sparse Attention

ICML 2026poster

Large reasoning models achieve strong performance through test-time scaling, but this incurs substantial computational overhead due to long decoding from short prompts. While sparse attention can reduce latency and memory usage, existing methods often degrade reasoning accuracy because selection err…

Cited by 0SourceScholar
2025

SpecReason: Fast and Accurate Inference-Time Compute via Speculative Reasoning

NeurIPS 2025poster

Recent advances in inference-time compute have significantly improved performance on complex tasks by generating long chains of thought (CoTs) using Large Reasoning Models (LRMs). However, this improved accuracy comes at the cost of high inference latency due to the length of generated reasoning seq…

Cited by 0SourcecodeScholar