Good Papers

Showing papers from Independent Researcher Show all papers

45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026Independent ResearcherResearch, MicrosoftMicrosoftIn-context learning & prompting

CAPO: A Primal-Dual Framework for Constraint-Aware Prompt Optimization

Victor Ye Dong, Reid Pryzant, Yi Liu, Jian Jiao

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 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: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026National University of SingaporeIndependent ResearcherFPT JapanActivation steering

Revisiting Activation Steering Through an Optimization Lens

Ryan Lee, Dung V Nguyen, Minh Hieu Vu, Noelle Y.L. Wong and 4 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 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: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026Independent ResearcherImage recognition

How Does Cutout Benefit Out-of-Distribution Generalization?

Kuo Shi

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

– ReadersNo votes yet
0/20 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: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026Independent ResearcherPekingAmazonCarnegie MellonU California, San DiegoWeb & GUI agents

From Click Imitation to Transition Equivalence: Rethinking Supervision for GUI Agents

Zhiming Lin, Tianxiang Xu, zizhao zhang, Yixue Liu and 5 more

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

– ReadersNo votes yet
1/20 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: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026Institute of Computing TechnologMeta Platforms, IncAlibaba GroupIndependent ResearcherMicro-IntelligenceMultimodal reasoning

What if Agents Could Imagine? Reinforcing Open-Vocabulary HOI Comprehension through Generation

Zhenlong Yuan, Yue Wang, Jing Tang, Rui Chen and 8 more

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

– ReadersNo votes yet
0/20 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: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026Independent ResearcherRepresentation & contrastive learning

Layer Free-Riding in Forward-Forward Networks: Real, Repairable, but Not Accuracy-Dominant

Amirhossein Yousefiramandi

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet
1/20 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: 1 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 1/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026BrownModal LabsIndependent ResearcherGANs & VAEs

Magnitude-preserving Layers Enable Efficient GANs

Nick Huang, Jackson Woodleigh, Aaron Gokaslan, Xinjie Yi and 1 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

– ReadersNo votes yet
0/20 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: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026Independent ResearcherKAISTInstruction tuning

BQ-LoRA: Binary-Quantized Low-Rank Adapters as Implicit Regularizers for Parameter-Efficient Fine-Tuning

Juyoung Park, Heejun Lee

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 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: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026nudt.edu.cnNational University of Defense TTsinghuaIndependent ResearcherDepartment of Automation, TsinghModel-based RL

Bridging Risk Approximation Gaps in Model Predictive Task Sampling via In-Context Modeling

Jiarong Wen, Qi Tao, Zhang Kaiyu, Yun Qu and 4 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 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: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026DukeIndependent ResearcherMetaMeta IncRecommender systems

MARS: Multi-resolution Adaptive Routing for Sequential Recommendation

Ming Yin, Sixun Dong, Yudong Liu, Wenyun Yang and 2 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 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: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026Independent ResearcherLink prediction

Invariant Hyperbolic Unfolding: Radial Canonicalization for Label-Free Cross-Graph Link Prediction

Taehee Lee

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 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: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
67%Highly rated
?Highly ratedVote to see the score
NeurIPS 2026ETHZ - ETH ZurichETH Agentic Systems Lab & COLudwig-Maximilians-Universität MHarvardDepartment of Computer Science, AI oversight & deception

Claude Coke: Prevent Automated Crime by Agents

Gabor Hollbeck, Baran Peters, Alexander von Recum, Jan Granacher and 3 more

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

– ReadersNo votes yet
2/20 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: 2 of 20 reviewers recommend it
lenient 1/5
medium 1/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026Korea UniveristyIndependent ResearcherKoreaBrain imaging & connectomics

Cortically-Resolved Recurrent Architecture for fMRI

Da-Woon Heo, Kwanseok Oh, Adrián Ayuso-Muñoz, Heung-Il Suk

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 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: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026ZhejiangHunanIndependent ResearcherNational University of SingaporeRetrieval-augmented generation

RealDev-QA: Trajectory-Level Diagnosis for Developer RAG Under Real-World Noises

Tianling Lan, Yao Junxiao, Tingyang Chen, Cibo Yu and 4 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 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: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
67%Highly rated
?Highly ratedVote to see the score
NeurIPS 2026U Pennsylvania, University of PeCenter for AI SafetyScale AIU Pennsylvania Aethra LabsLLM evaluation & benchmarks

Beyond Truthfulness: Evaluating Honesty in Large Language Models

Richard Ren, Arunim Agarwal, Mantas Mazeika, Cristina Menghini and 11 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

– ReadersNo votes yet
2/20 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: 2 of 20 reviewers recommend it
lenient 1/5
medium 1/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026Independent ResearcherFairness & bias

Jointly Robust Fairness: Overcoming Simultaneous Label and Attribute Noise

Gaurav Jain

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 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: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
72%Highly rated
?Highly ratedVote to see the score
NeurIPS 2026TsinghuaDepartment of Automation, TsinghTsinghua University, TsinghuaU Maryland, College ParkIndependent ResearcherRL for LLMs

Listwise Policy Optimization: Group-based RLVR as Target-Projection on the LLM Response Simplex

Listwise Policy Optimization explicitly projects policies onto target distributions over response simplices via divergence minimization, improving reasoning performance and stability over group-based policy gradients.

Yun Qu, Qi Wang, Yixiu Mao, Heming Zou and 10 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 67 on Hugging Face

– ReadersNo votes yet
8/20 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: 8 of 20 reviewers recommend it
lenient 2/5
medium 6/10
strict 0/5
80%Must read
?Must readVote to see the score
NeurIPS 2026Independent ResearcherAXXX, Institute of Numerical MatSteklov Mathematical InstituteInstitute of Numerical MathematiQuantization

Structured Transforms for Low-Overhead Quantization of Language Models

Replacing dense orthogonal matrices with sign-randomized DCTs accelerates Kashin-based LLM quantization to O(N log N) with guaranteed convergence, achieving 4-bit accuracy competitive with OPTQ and QuIP while maintaining numerical stability and native 2-bit hardware compatibility.

Daria Cherniuk, Alexander Rudikov, Boris Kashin, Ivan Oseledets

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 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 3/5
medium 8/10
strict 1/5
78%Highly rated
?Highly ratedVote to see the score
NeurIPS 2026Mila / Polytechnique MontrealIndependent ResearcherLayer 6 AIELLIS Institute Tübingen & UMilaTabular data

Understanding the Surprising Generalization Properties of Tabular Foundation Models

Self-supervised pre-training on one real table yields strong tabular transfer, where feature count predicts usefulness and in-context generalization is retrieval-based.

Nour Shaheen, Junwei (Jeremy) Ma, Alex Labach, Frank Hutter and 2 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
11/20 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: 11 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 1/5
83%Must read
?Must readVote to see the score
NeurIPS 2026GRADIENT DATASoochowIndependent ResearcherAmazonMicrosoftAgent benchmarks & environments

TwinRouterBench: Fast Static and Live Dynamic Evaluation for Realistic Agentic LLM Routing

TwinRouterBench introduces static and live dynamic tracks to benchmark LLM routing at agent step-level using deterministic scoring and live execution on SWE-bench.

Pei Yang, Wanyi Chen, Tongyun Yang, Pengbin Feng and 11 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 5 on Hugging Face

– 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 5/5
medium 6/10
strict 2/5
Show 20 more papers