Good Papers: read the good ones

Selective layer looping improves masked diffusion model training efficiency and reasoning performance via depth scaling without added parameters and flexible inference compute scaling.

Sanghyun Lee, Chunsan Hong, Seungryong Kim, Jonghyun Lee and 2 more

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

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NeurIPS 2026KAIST Korea Advanced Institute of Scie IBM Research - China Fudan RL for LLMs

Rebellious Student: Reversing Teacher Signals for Reasoning Exploration with Self-Distilled RLVR

RLRT reverses teacher signals in self-distillation to reinforce student reasoning tokens on successful rollouts, substantially outperforming exploration baselines across Qwen3 models.

Jeonghye Kim, Jiwon Jeon, Dongsheng Li, Yuqing Yang

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 15 on Hugging Face

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NeurIPS 2026KAIST Korea Advanced Institute of Scie Ghent Korea Advanced Institute of Scie Samsung Medical Center Clinical NLP & EHR

Towards Error-Free EHRs: Reasoning-Intensive Consistency Verification Between Clinical Notes and Structured Tables in Electronic Health Records

EHR-ReasonCon introduces a reasoning-intensive benchmark for clinical note-table consistency verification, and EHR-Inspector achieves state-of-the-art results via LLM-based verification with table exploration.

Yeonsu Kwon, Jiho Kim, Junseong Choi, Paloma Rabaey and 9 more

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

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NeurIPS 2026New York KAIST / CMU Korea Advanced Institute of Scie Flow matching

Better Source, Better Flow: Learning Condition-Dependent Source Distribution for Flow Matching

Condition-dependent source distributions for flow matching improve text-to-image generation via variance regularization and directional alignment, accelerating convergence up to 3x in FID.

Junwan Kim, Jiho Park, Seonghu Jeon, Seungryong Kim

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

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NeurIPS 2026Korea Advanced Institute of Scie KAIST KAIST, AITRICS Privacy

It Takes Two: Complementary Self-Distillation for Contextual Integrity in LLMs

SELFCI uses complementary self-distillation to decouple information suppression from task resolution, improving contextual integrity without degrading utility.

Sangwoo Park, Woongyeong Yeo, Yumin Choi, Hyomin Lee and 5 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 29 on Hugging Face · Code ★ 7

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NeurIPS 2026SpotlightKorea Advanced Institute of Scie KAIST KRAFTON U California, Los Angeles Stanford AutoML & architecture search

AMUSE: Anytime Muon with Stable Gradient Evaluation

AMUSE integrates Muon's rapid bulk progress with Schedule-Free averaging via time-varying interpolation to suppress oscillations, requiring no learning rate schedules and improving training efficiency across vision and LLM tasks.

Jueun Kim, Baekrok Shin, Jihun Yun, Beomhan Baek and 2 more

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

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NeurIPS 2026Korea Advanced Institute of Scie KAIST Offline RL

Trust Region Q Adjoint Matching

TRQAM introduces trust-region Q-adjoint matching with adaptive path-space KL control via projected dual descent, enabling stable off-policy flow-policy fine-tuning and achieving 68% success on OGBench.

Yonghoon Dong, Kyungmin Lee, Changyeon Kim, Jaehyuk Kim and 1 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 24 on Hugging Face · Code ★ 20

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NeurIPS 2026KAIST Korea Advanced Institute of Scie AutoML & architecture search

Automated Kernel Discovery Towards Understanding High-dimensional Bayesian Optimization

Kernel Discovery uses an LLM-driven evolutionary framework to search broad kernel spaces for high-dimensional Bayesian optimization, achieving average rank 1.2 out of 17.

Taeyoung Yun, Woocheol Shin, Inhyuck Song, Jaewoo Lee and 1 more

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

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NeurIPS 2026KAIST Korea Advanced Institute of Scie Korea Advanced Institute of Scie Molecules & drug discovery

Screening Lipid Nanoparticles through Structure-Ratio Alignment

STRATA predicts lipid nanoparticle transfection by aligning molecular structure and composition ratio representations to model component interactions. It improves accuracy and generalizes to unseen molecules and ratios.

Yoonho Lee, Yunhak Oh, Hoyoung Choi, Chanyoung Park

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

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NeurIPS 2026Korea Advanced Institute of Scie Adobe Research Chung-Ang Korea Advanced Institute of Scie Video generation

MotionGrounder: Grounded Multi-Object Motion Transfer via Diffusion Transformer

MotionGrounder enables multi-object motion transfer via a diffusion transformer with flow-based motion signals, object-caption alignment loss, and a new object grounding score. It outperforms baselines in multi-object controllable video generation.

Samuel Teodoro, Yun Chen, Agus Gunawan, Soo Ye Kim and 2 more

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

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NeurIPS 2026KAIST Korea Telecom Research Korea Advanced Institute of Scie 3D vision & reconstruction

DySurface: Consistent 4D Surface Reconstruction via Bridging Explicit Gaussians and Implicit Functions

DySurface bridges explicit dynamic Gaussians and implicit SDFs via voxel guidance to reconstruct temporally consistent, watertight 4D surfaces.

Minje Kim, Younghyun Noh, Jaesoon Kim, Tae-Kyun Kim

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

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NeurIPS 2026Korea Advanced Institute of Scie KAIST Korea Advanced Institute of Scie Vision-language models

Multi-view Relational Distillation for Spatial Reasoning with Vision-Language Models

Multi-view relational distillation improves vision-language model spatial reasoning by distilling cross-view patch similarities rather than features, preserving language alignment with minimal overhead.

Kiet Nguyen, Hanbo Shim, Jinwoo Kim, Seunghoon Hong

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

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NeurIPS 2026Yonsei Korea Advanced Institute of Scie Sung Kyun Kwan Texas A&M University - Colle Samsung Agent benchmarks & environments

Towards Direct Evaluation of Harness Optimizers via Priority Ranking

Priority ranking directly evaluates harness optimizers by ranking harness components via potential performance impact, correlating with multi-step optimization ability without costly rollouts.

Kai Ong, Minseok Kang, Dongwook Choi, Junhee Cho and 10 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 2 on Hugging Face

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NeurIPS 2026U Texas at Austin KAIST Korea Advanced Institute of Scie AutoML & architecture search

Posterior Inference in Latent Space for Scalable Constrained Black-box Optimization

Reformulating constrained black-box optimization as latent-space posterior inference with flow-based surrogates and amortized diffusion sampling improves high-dimensional optimization performance.

Kiyoung Om, Kyuil Sim, Taeyoung Yun, Hyeongyu Kang and 1 more

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

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NeurIPS 2026KAIST Korea Advanced Institute of Scie Spatio-temporal forecasting

Rethinking Forward Processes for Score-Based Nonlinear Data Assimilation in High Dimensions

MASF redesigns score-based filtering with a measurement-aware forward process that transforms states toward measurements, yielding accurate likelihood scores, stronger assimilation under sparse nonlinear observations, and up to 28.2x faster inference.

EUNBEE YOUN, Donghan Kim, Dae W Kim

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

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NeurIPS 2026Texas A&M University - Colle Korea Advanced Institute of Scie Video generation

ViTeX-Bench: Benchmarking High-Fidelity Video Scene Text Editing

ViTeX-Bench introduces a 387-video benchmark and evaluation protocol for high-fidelity video scene text editing, finding that accuracy, temporal stability, and edit locality remain hard to balance together.

Xinghao Chen, Xiangbo Gao, Jiongze Yu, Yuheng Wu and 1 more

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

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lenient 5/5

medium 7/10

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NeurIPS 2026KAIST Korea Advanced Institute of Scie NVIDIA Diffusion models

Contrastive Distribution Matching for Amortized Sequential Monte Carlo in Discrete Diffusion

CDM amortizes twisted SMC for discrete diffusion by learning a twist function via contrastive samples, adding under 5% overhead while outperforming baselines on text, DNA, protein, and LLM tasks.

Jaihoon Kim, Taehoon Yoon, Prin Phunyaphibarn, Seungjun Kim and 2 more

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

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lenient 3/5

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NeurIPS 2026KAIST Korea Advanced Institute of Scie Multimodal reasoning

On the Nature of Attention Sink that Shapes Decoding Strategy in Omni-LLMs

Attention sinks in Omni-LLMs serve as global representation biases rather than redundant heads, and the proposed OutRo decoding method improves video reasoning with minimal overhead.

Suho Yoo, Youngjoon Jang, Joon Son Chung

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

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NeurIPS 2026Korea Advanced Institute of Scie Korea Advanced Institute of Scie Deep RL

Bellman Residual Minimization for Control: Geometry, Stationarity, and Convergence

Bellman residual minimization for policy optimization achieves stable convergence with function approximation but lacks extensive study; foundational control results are established.

Donghwan Lee, Hyukjun Yang

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

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ECCV 2026WorkshopKAIST Korea Advanced Institute of Scie KAIST AI Video generation

CRePE: Curved Ray Expectation Positional Encoding for Unified-Camera-Controlled Video Generation

CRePE encodes tokens as depth-aware distributions along curved unified-camera rays to unify camera control, lens geometry, and external geometry guidance in video generation.

Seonghyun Jin, youngmin Kim, Sunwoo Park, Jong Chul Ye

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

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lenient 3/5

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NeurIPS 2026Korea Advanced Institute of Scie KAIST Korea Advanced Institute of Scie Korea Advanced Institute of Scie Proteins

Atom-level Protein Representation Learning Improves Protein Structure Prediction

TriProRep pretrains structure-aware protein representations via joint amino-acid, backbone, and full-atom token recovery, improving homodimer co-folding, interaction prediction, and monomer structure prediction over sequence-only models.

Taewon Kim, Hyosoon Jang, Hyunjin Seo, Seonghwan Seo and 5 more

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

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NeurIPS 2026KAIST NVIDIA Korea Advanced Institute of Scie Tool use & function calling

SpatialClaw: Rethinking Action Interface for Agentic Spatial Reasoning

SpatialClaw uses a stateful Python kernel with step-wise code execution to enable flexible spatial reasoning, achieving 59.9% average accuracy across 20 benchmarks.

Seokju Cho, Ryo Hachiuma, Abhishek Badki, Hang Su and 7 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 115 on Hugging Face · Code ★ 433

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NeurIPS 2026KAIST Korea Advanced Institute of Scie Video-language models

Before It Fades: Reinforcing Temporal Representations at Inference Time in VideoLLMs

VideoLLMs lose temporal representations across layers, so Temporal Activation Injection reinforces fading divergence at inference to improve video reasoning without training.

Youngwoo Shin, Yusung Ro, Minseo Kim, Junmo Kim

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 5 on Hugging Face · Code ★ 2

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lenient 4/5

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ICML 2026WorkshopKorea Advanced Institute of Scie KAIST KAIST AI Diffusion models

Reward Score Matching: Unifying Reward-based Fine-tuning for Flow and Diffusion Models

Reward Score Matching unifies reward-based diffusion and flow fine-tuning via value-guided score matching, clarifying tradeoffs and yielding simpler, more efficient designs.

Jeongjae Lee, Jinho Chang, Jeongsol Kim, Jong Chul Ye

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

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NeurIPS 2026Korea Advanced Institute of Scie KAIST KAIST, AITRICS Unified multimodal models

ES-Merging: Biological MLLM Merging via Embedding Space Signals

ES-Merging estimates merging coefficients from embedding space signals to combine biological multimodal models, improving cross-modal reasoning and single-modal knowledge preservation.

Wonbin Lee, Dongki Kim, Sung Ju Hwang

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

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NeurIPS 2026KAIST Korea Advanced Institute of Scie The University of Tokyo Rakuten Group Pruning & sparsity

POP: Online Structural Pruning Enables Efficient Inference of Large Foundation Models

POP enables context-conditioned online structural pruning of foundation models via coarse-to-fine partitioned masking without offline calibration or retraining, improving accuracy with lower latency.

Yi Chen, Wonjin Shin, Shuhong Liu, Tho Mai and 5 more

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

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lenient 5/5

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NeurIPS 2026Korea Advanced Institute of Scie Korea Advanced Institute of Scie Flow matching

GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation

GeoCore-9B is a 9-billion-parameter diffusion model trained from scratch on global earth observation data that conditions generation on geospatial metadata and achieves state-of-the-art visual fidelity and geographic accuracy.

Jeonghyeok Do, Munchurl Kim

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

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lenient 5/5

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NeurIPS 2026KAIST Korea Advanced Institute of Scie Multimodal reasoning

VocalCoachBench: Benchmarking Audio-Language Models on Expert Feedback for Singing

VocalCoachBench benchmarks audio-language models on expert singing feedback, revealing they identify broad vocal issues but fall below baselines on fine-grained diagnosis and strict alignment.

Hayeon Bang, Hounsu Kim, Wonil Kim, Juhan Nam

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

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NeurIPS 2026Texas A&M University - Colle Texas A&amp;amp;amp;M Univer Korea Advanced Institute of Scie Facebook Meta Platforms Controllable generation

PISCO: Precise Video Instance Insertion with Sparse Control

PISCO enables precise video instance insertion via sparse keyframe control while preserving dynamics, achieving monotonic gains with added signals and outperforming editing baselines.

Xiangbo Gao, Renjie Li, Xinghao Chen, Yuheng Wu and 4 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 13 on Hugging Face · Code ★ 62

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NeurIPS 2026Korea Advanced Institute of Scie VGG, University of Oxford Google DeepMind KAIST ENPC / IP Paris Unified multimodal models

Lost in Translation, Found in Embeddings: Sign Language Translation and Alignment

A unified sign-language model with privacy-preserving keypoint inputs and sliding perceiver aggregation achieves state-of-the-art translation and alignment on BSL and generalizes to ASL.

Youngjoon Jang, Liliane Momeni, Zifan Jiang, Joon Son Chung and 2 more

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

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AI panel: 7 of 20 reviewers recommend it

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