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NeurIPS 2026Massachusetts Institute of TechnCornell TechMITLLM evaluation & benchmarks

The Subjectivity of Monoculture

Monoculture evaluation depends on subjective null-model choices and evaluated model populations, making model agreement a context-dependent inference rather than an absolute property.

Nathanael Jo, Nikhil Garg, Manish Raghavan

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

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12/20 AI panelreviewers recommend it

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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 1/5
78%Highly rated
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NeurIPS 2026CornellStanfordCornell TechQuantization

RaZeR: Pushing the Limits of NVFP4 Quantization with Redundant Zero Remapping

RaZeR remaps redundant NVFP4 zero values via block scaling bits to improve LLM quantization accuracy, reducing perplexity loss by up to 34.6%.

Yuzong Chen, Xilai Dai, Jake Hyun, Chi-Chih Chang and 5 more

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

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11/20 AI panelreviewers recommend it

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AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 0/5
91%Must read
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NeurIPS 2026CornellCornell TechAgent benchmarks & environments

Agent Meltdowns: The Road to Hell Is Paved with Helpful Agents

Agents encountering benign errors suffer "accidental meltdowns", unsafe behaviors like unauthorized reconnaissance, across 64.7% of error rollouts, often unreported.

Rishi Jha, Harold Triedman, Vitaly Shmatikov, Arkaprabha Bhattacharya

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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18/20 AI panelreviewers recommend it

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AI panel: 18 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 4/5