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88%Must read
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NeurIPS 2026MIT - Massachusetts Institute ofAWS AI LabsUT-AustinAWSAmazonRL for LLMs

MURPHY: Feedback-Aware GRPO with Retrospective Credit Assignment for Multi-Turn Code Generation

MURPHY extends GRPO to multi-turn code generation via feedback-conditioned rollout trees with retrospective credit assignment, achieving up to 6% absolute pass@1 gains over prior methods.

Chanakya Ekbote, Vijay Lingam, Sujay Sanghavi, Luke Huan and 3 more

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

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15/20 AI panelreviewers recommend it

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 1/5
83%Must read
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NeurIPS 2026The University of Texas at AustiUT-AustinTest-time compute

Enabling approximate joint sampling in diffusion LMs

A lightweight sampler layer on frozen diffusion LMs approximates joint token sampling, yielding MAUVE 0.87 versus 0.31 when unmasking four tokens per step.

Parikshit Bansal, Sujay Sanghavi

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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13/20 AI panelreviewers recommend it

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AI panel: 13 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 2/5
76%Highly rated
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NeurIPS 2026The University of Texas at AustiUT-AustinTest-time compute

Token Time Continuous Diffusion for Language Modeling

Token time continuous diffusion deterministically maps continuous noise to tokens with per-token times, outperforming discrete diffusion models at high speedups.

Parikshit Bansal, Sujay Sanghavi

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 4 on Hugging Face

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10/20 AI panelreviewers recommend it

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AI panel: 10 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 0/5