Good Papers

Showing papers from Monash University Show all papers

67%Highly rated
?Highly ratedVote to see the score
NeurIPS 2026EmotivEmotiv LtdMonash universityMonashEmotiv Research Pty LtdTime series foundation models

EEG-X: Toward Device-Agnostic and Noise-Robust Foundation Models for EEG

Navid Mohammadi Foumani, Soheila Ghane, Nam Nguyen, Mahsa Salehi and 2 more

Sydney Poster Session 1, Tue, Dec 8, 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 2/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026MonashWatermarking & AI-text detection

Multi-bit LLM Watermarking with Certified Semantic Distortion

Chenxi Gu, Si Chen, John Grundy, Xiaoning Du

Sydney Poster Session 6, Thu, Dec 10, 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 2026RMITRMITRoyal Melbourne Institute of TecMonashU MelbourneMachine unlearning

What Should Remain After Forgetting? Rethinking LLM Unlearning as Predictive Posterior Correction

Jingyue Cong, Andy Song, Alexis Horde-Vo, Kai Wei and 4 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 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
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026ustc.edu.cnU Science and Technology of ChinU Technology Sydney; Data61, CSIMohamed bin Zayed University of Shanghai AI LaboratoryNavigation & SLAM

Seeing Together, Acting Apart: Shared Environmental Understanding for Multi-Robot Navigation

haihong hao, Lei Chen, Mingfei Han, Dong An and 6 more

Sydney Poster Session 3, Wed, Dec 9, 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
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026Southeast University / MonashMonashSoutheastEfficient inference & serving

VALOR: Vector-Aware Low-Rank Restructuring of Neural Networks for RISC-V Inference

Zhihao Xu, Xiaoning Du, Bixin Li, Wang Lulu and 2 more

Sydney Poster Session 5, Thu, Dec 10, 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 2026MonashVideo generation

Breaking the Group Size Barrier: Parameter-Efficient Group Dance Generation with Chain-of-Dancers

Jing Xu, Cunjian Chen, Qiuhong Ke

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
69%Highly rated
?Highly ratedVote to see the score
NeurIPS 2026SoutheastMonashJailbreaks & red teaming

JEDI: Real-Time Jailbreak Defense for LLMs via In-Generation Detection and Intervention

Ruilin Xie, Bixin Li, Xinyu Chen, Yongqiang Tian and 1 more

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

– ReadersNo votes yet
3/20 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: 3 of 20 reviewers recommend it
lenient 2/5
medium 1/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026MonashVision-language-action models

JRDB-AVR: An Active Visual Reasoning Benchmark for Real-World Embodied Environments

Zhixi Cai, Fucai Ke, Sukai Huang, Maria Garcia de la Banda and 3 more

Sydney Poster Session 3, Wed, Dec 9, 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
67%Highly rated
?Highly ratedVote to see the score
NeurIPS 2026MonashDST GroupMonash University, Qualcomm AI RMultimodal hallucination

PAVE: Prefill-Conditioned Activation Editing for Hallucination Mitigation in LVLMs

Jingmin Zhu, Junae Kim, Dinh Phung, Trung Le and 2 more

Sydney Poster Session 5, Thu, Dec 10, 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 2026BeihangZhongguancun Laboratory, BeijingBeijing University of AeronauticMonashTsinghuaLLM reasoning & chain of thought

From Solver Trajectories to Teaching Trajectories: Cognition-Aligned Reasoning Distillation

Yashuo Luo, Qianren Mao, ZiqiQin, Junnan Liu and 5 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
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026Hong Kong PolytechnicMonashInternational Digital Economy AcJilinGriffithLLM reasoning & chain of thought

MemPilot: Learning Transferable Latent Memory Mechanisms for LLM Reasoning

Changlong Shi, LINHAO LUO, Shigeng Chen, Guibin Zhang and 3 more

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 2026MonashHong Kong PolytechnicGriffithAgent memory

TransMem: Transition-Aware Retrieval for Evolving Personal Memory

Shigeng Chen, LINHAO LUO, Changlong Shi, Zhangchi Qiu and 1 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
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026Monash University MalaysiaJapan Advanced Institute of ScieMonashMonash University, Malaysia CampDatasets & benchmarks

MySign: A High-Fidelity Motion-Capture Dataset for 3D Sign Generation in Bahasa Isyarat Malaysia

Jiayu Shen, Kalin Stefanov, Lay-Ki Soon, Vee Yee CHONG and 2 more

Sydney Poster Session 3, Wed, Dec 9, 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
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026SoutheastMonashDiffusion models

IRCasDiff: Two-Stage Cascaded Diffusion for Compound Infrared Face Reconstruction

Zhiyuan Xia, Haojie Li, Yiguo Qiao, Cunjian Chen

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
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026ZhejiangAlibaba GroupMonashVideo generation

Dynamics-Aware Sparse Attention for Efficient Autoregressive Video Diffusion

Yuanyu He, Zhuokun Chen, Yefei He, Zhiwei Tang and 4 more

Sydney Poster Session 5, Thu, Dec 10, 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
67%Highly rated
?Highly ratedVote to see the score
NeurIPS 2026MonashNortheasternU Minnesota - Twin CitiesUC Santa CruzHallucination & factuality

Rethinking in Spikes: Mitigating Hallucinations in MDLMs with Step-Aware Decoding

Zhongxing Xu, Zhonghua Wang, Zhe Qian, Shiyan Su and 8 more

Sydney Poster Session 1, Tue, Dec 8, 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 2026MATSMonashMechanistic interpretability

What does a Bayes-filtered transformer believe? A predictive Monte Carlo approach

Afiq Abdillah Effiezal Aswadi, Haotong Ma, Susan Wei

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
67%Highly rated
?Highly ratedVote to see the score
NeurIPS 2026U MelbourneDeakinMonashThe University of MelbourneAlignment & preference optimization

Towards Multi-Human-Value Alignment via Value Localization in LLMs

Xueqi Ma, Yanbei Jiang, Xingjun Ma, James Bailey and 1 more

Sydney Poster Session 1, Tue, Dec 8, 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 2026SpotlightU MelbourneThe University of MelbourneSoutheast University, ChinaAmazonMonashVision-language models

Permute-then-Adapt: Weak-to-Strong Contrastive Image--Text Adaptation

Jinhao Li, Sarah Erfani, Lei Feng, Guangrui Li and 2 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
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026ZhejiangSun Yat-sen University Cancer CeMonashHong Kong PolytechnicInfiX.aiMedical LLMs

NPCBench: A Clinical Apprenticeship Benchmark for Guideline-Constrained Care-Pathway Reasoning in Nasopharyngeal Carcinoma

Pengkai Wang, Wei-Wei Zhang, Yan Li, Min Tang and 12 more

Sydney Poster Session 3, Wed, Dec 9, 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 2026OralU Queensland; CSIROThe University of QueenslandRMITMonashCSIRO Data61Backdoors & data poisoning

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization

Zihan Wang, Ethan Ma, Zhongkui Ma, Shuofeng Liu and 4 more

Sydney Poster Session 5, Thu, Dec 10, 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 2026Nanyang TechnologicalBeijing University of Post and TMonashBeijing Institute of Computer TeNational University of SingaporeLLM agents & planning

MMGraph-Agent: Agentic Multimodal RAG via Cache-Inspired Multimodal Knowledge HyperGraphs

Haoran Luo, Ziyue Zhu, Shangyang Wu, LINHAO LUO and 7 more

Sydney Poster Session 5, Thu, Dec 10, 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
88%Must read
?Must readVote to see the score
NeurIPS 2026U New South WalesMonashArmy Research LaboratoryUNSW SydneyDomain adaptation

FOGO: Forgetting-aware Orthogonalization Optimizer

FOGO detects and resolves gradient interference via spectral orthogonalization and compact codebook memory to prevent dominant directions from suppressing rare updates, improving convergence and retention across continual and standard training.

Toan Nguyen, Yang Liu, Trung Le, Celso de Melo and 1 more

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

– 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
83%Must read
?Must readVote to see the score
NeurIPS 2026MonashDST GroupMonash University, Qualcomm AI RAlignment & preference optimization

MATO: Multi-objective Personalized Alignment with Test-time Optimization for Large Language Models

MATO achieves training-free multi-objective LLM alignment via test-time optimization of discovered rewards and adaptive weights during decoding, improving steerability and Pareto performance.

LINHAO LUO, Trang Vu, Van-Anh Nguyen, Junae Kim and 2 more

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

– 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 8/10
strict 0/5
74%Highly rated
?Highly ratedVote to see the score
NeurIPS 2026MonashVASTThe Chinese University of Hong KMultimodal reasoning

OpenView: Empowering MLLMs with Out-of-view VQA

OpenView introduces out-of-view VQA via panoramic synthesis, boosting MLLM accuracy from 48.6% to 64.1%.

Qixiang Chen, Cheng Zhang, Chi-Wing Fu, Jingwen Ye and 1 more

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

– ReadersNo votes yet
9/20 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: 9 of 20 reviewers recommend it
lenient 4/5
medium 5/10
strict 0/5
80%Must read
?Must readVote to see the score
NeurIPS 2026The University of MelbourneU MelbourneWuhanAlexandru Ioan CuzaU Hong KongMultimodal reasoning

RAIL: Rethinking Auditory Intelligence in Large Audio-Language Models with a CHC-Grounded Benchmark

RAIL introduces a CHC-based benchmark evaluating LALMs across five auditory cognitive abilities, revealing highly uneven performance among 26 state-of-the-art models.

Hongyu Jin, Siyi Wang, Yang Xiao, Jiaheng Dong and 9 more

Published 2026 · ▲ 5 on Hugging Face

– 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 4/5
medium 7/10
strict 1/5
76%Highly rated
?Highly ratedVote to see the score
NeurIPS 2026SpotlightNankaiMonashShanghai JiaotongFudanShanghai Jiao TongLLM evaluation & benchmarks

IndustryCode: A Benchmark for Industry Code Generation

IndustryCode is a multi-domain, multi-language benchmark of 579 industrial coding sub-problems; Claude 3.5 Opus reaches 68.1% sub-problem and 42.5% main-problem accuracy.

Puyu Zeng, Zhaoxi Wang, Zhixu Duan, Liang Feng and 7 more

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

– ReadersNo votes yet
10/20 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: 10 of 20 reviewers recommend it
lenient 4/5
medium 5/10
strict 1/5
89%Must read
?Must readVote to see the score
NeurIPS 2026The Hong Kong PolytechnicWestlakeAlibaba GroupThe Hong Kong University of ScieMonashText-to-image

RankE: End-to-End Post-Training for Discrete Text-to-Image Generation with Decoder Co-Evolution

RankE co-evolves discrete text-to-image policy and decoder via alternating optimization to eliminate latent covariate shift, improving both FID and CLIP scores.

Siyonng Jian, Siyuan Li, Luyuan Zhang, Zedong WANG and 4 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 18 on Hugging Face · Code ★ 21

– ReadersNo votes yet
16/20 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: 16 of 20 reviewers recommend it
lenient 4/5
medium 10/10
strict 2/5
91%Must read
?Must readVote to see the score
NeurIPS 2026The University of QueenslandMonashU QueenslandMachine unlearning

Open Vocabulary Domain Unlearning

Existing domain unlearning overfits to seen classes; this paper proposes open-vocabulary domain unlearning via Fisher-masked parameter editing and targeted manifold scattering to erase domains across unseen classes with few shots.

Sumanth V Udupa, Mehrtash Harandi, Yadan Luo, Mahsa Baktashmotlagh

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

– ReadersNo votes yet
17/20 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: 17 of 20 reviewers recommend it
lenient 5/5
medium 10/10
strict 2/5
80%Must read
?Must readVote to see the score
NeurIPS 2026MonashMiniMaxBeijing Geling Deep Eye InformatDEEP GLINTMicrosoft Research AsiaVision-language models

OneVision-Encoder: Codec-Aligned Sparsity as a Foundational Principle for Multimodal Intelligence

OneVision-Encoder applies codec-aligned sparsity to video, processing only high-entropy regions to outperform dense backbones with fewer tokens. It achieves 4.1% higher video accuracy than Qwen3-ViT across 16 benchmarks.

feilong tang, Xiang An, Yunyao Yan, Yin Xie and 14 more

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026 · ▲ 52 on Hugging Face · Code ★ 403

– 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 4/5
medium 7/10
strict 1/5
86%Must read
?Must readVote to see the score
NeurIPS 2026Hanoi University of Science and DeakinDFKI & Max Planck Research SVinUniversityMonashAI oversight & deception

BSO: Safety Alignment Is Density Ratio Matching

BSO recasts safety alignment as density ratio matching via Bregman divergence minimization, yielding a single-stage loss that improves the safety-helpfulness trade-off without auxiliary models.

Tien-Phat Nguyen, Truong Nguyen, Thin Nguyen, Duy M. H. Nguyen and 2 more

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

– ReadersNo votes yet
14/20 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: 14 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 2/5