Good Papers

Showing papers from MIT, NVIDIA Show all papers

83%Must read
?Must readVote to see the score
NeurIPS 2026U California, BerkeleyMassachusetts Institute of TechnShanghai JiaotongTsinghuaNVIDIAML systems & compilers

Flash-KMeans: Fast and Memory-Efficient Exact K-Means

Flash-KMeans eliminates GPU HBM bottlenecks via fused assignment and inverse mapping updates, delivering up to 17.9x speedups over existing exact k-means implementations.

Shuo Yang, Haocheng Xi, Yilong Zhao, Muyang Li and 9 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 85 on Hugging Face · Code ★ 735

– ReadersNo votes yet
13/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 13 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 2/5
80%Must read
?Must readVote to see the score
NeurIPS 2026TsinghuaMassachusetts Institute of TechnAnthropicNVIDIAMIT, NVIDIARL for LLMs

Hide to Guide: Learning via Semantic Masking

SMEPO applies fine-grained semantic masking to expert traces in RLVR, improving accuracy by up to 3.2 points and cutting training time up to 4.2x across math, code, and agentic tasks.

Ruitao Liu, Qinghao Hu, Alex Hu, Yecheng Wu and 5 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
12/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 0/5
88%Must read
?Must readVote to see the score
NeurIPS 2026Carnegie MellonShanghai JiaotongTsinghua University, TsinghuaMIT, NVIDIANVIDIALong-context modeling

Jet-Long: Efficient Long-Context Extension with Dynamic Bifocal RoPE

Jet-Long dynamically rescales RoPE via bifocal local and long-range windows with an analytic length-aware schedule to extend LLM contexts without tuning, outperforming baselines on RULER, HELMET-RAG, and perplexity while retaining near-FlashAttention-3 throughput.

Haozhan Tang, Zerui Wang, Yuxian Gu, Song Han and 1 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 24 on Hugging Face · Code ★ 13

– ReadersNo votes yet
15/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 2/5