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arXivColumbiaAmazonMulti-agent LLM systems

Receiver-Conditioned Latent Communication gives 94% CacheBack

CacheBack uses receiver-conditioned filtering of sender KV caches via attention weights to cut transferred state by 75%, boosting multi-agent accuracy by 14.7 points and reducing latency 3.2x versus text.

Maximillian Rossi, Prajwal Raghunath, Haoqing Xuan, Yusen Zhang and 1 more

Published Sep 25, 2026 · 0 citations · ▲ 11 on Hugging Face · Code ★ 6

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NeurIPS 2026ColumbiaAutoML & architecture search

Growing a Neural Network in Breadth, Depth, and Time

Eivinas Butkus, Kedar Garzón Gupta, Nikolaus Kriegeskorte

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

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NeurIPS 2026ColumbiaSailpointYaleEfficient attention & state-space models

Nearly Optimal Attention Coresets

Alexandr Andoni, Eldar Kleiner, Edo Liberty

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

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NeurIPS 2026ColumbiaActive learning

Forward Shapley Scoring for Non-Myopic Active Feature Acquisition

Guoliang Xu

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

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NeurIPS 2026ColumbiaUncertainty & calibration

Announced Breaks Separate Conformal Reliability from Frequency Calibration

Karl Li

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

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NeurIPS 2026FudanU Hong KongShanghai JiaotongXi'an JiaotongNankaiVision-language models

MedVTok: A General-Purpose Medical Visual Tokenizer

Chenglong Ma, Yuanfeng Ji, Junzhi Ning, Jiyao Liu and 17 more

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

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NeurIPS 2026ColumbiaGoogle DeepMindExplainable AI

Counterfactual Debugging the World Model Transfer Gap

Mingxuan Li, Kai-Zhan Lee, Michael Dennis, Elias Bareinboim

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

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NeurIPS 2026ColumbiaU PennsylvaniaBackdoors & data poisoning

Robust and Efficient Backdoor Mitigation for ML Models via Tolerant Property Testing

Xi Chen, Anindya De, Rocco A Servedio

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

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NeurIPS 2026Pokemon ShanghaiFudanColumbiaShanghai Artificial IntelligenceThe Chinese University of Hong KVision-language models

From Perception to Punchline: Empowering VLM with the Art of In-the-wild Memes

Xueyan Li, Yingyi Xue, Mengjie Jiang, Qingzi Zhu 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 2026ColumbiaML systems & compilers

Speed Predictions for Online Energy-Efficient Scheduling

Eric Balkanski, Jingwei Li, Clifford Stein, Cherlin Zhu

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

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NeurIPS 2026U Illinois at Urbana-ChampaignIndependentU Illinois, Urbana-ChampaignNorthwesternColumbiaSparse autoencoders

Crosscoding Through Time: Sparse Feature Discovery Across Sequence Positions

Dmitry Manning-Coe, Han Xuanyuan, Aniket Deshpande, Andrii Shportko 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 2026Renmin University of ChinaColumbiaBeijing JiaotongU Science and Technology of ChinBeijing Academy of Artificial InAgent benchmarks & environments

SciResearchBench: Benchmarking AI Agents on Complex Scientific Literature Discovery

Lei Xiong, Kun Luo, Ziyi Xia, Wenbo Zhang 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 2026TongjiU Hong KongColumbia3D vision & reconstruction

PF-SGS: Pose-Free Streaming 3D Gaussian Splatting for Large-Scale Scene Reconstruction

wenjie mu, ziniu liu, Tong Wu, Zhan Li and 7 more

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

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NeurIPS 2026ColumbiaBoston University, BostonMIT, BostonIBM T.J. Watson Research CenterInformation retrieval

Robust Approximate Nearest Neighbor Search for Any Dataset

Alexandr Andoni, Themistoklis Haris, Esty Kelman, Krzysztof Onak

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

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NeurIPS 2026ColumbiaOptimization

Finite-Resolution Decision Sufficiency for Linear Optimization

Mohammed Jamal, Soufiane Fafe

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

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NeurIPS 2026U Wisconsin - MadisonU Tokyo / SB IntuitionsColumbiaDeepMindPrincetonAgent benchmarks & environments

DEBATE: A Large-Scale Benchmark for Evaluating Opinion Dynamics in Role-Playing LLM Agents

Yun-Shiuan Chuang, Ruixuan Tu, Chengtao Dai, You Li and 7 more

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

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NeurIPS 2026Modal/HarvardStanfordHarvardThinking Machines Lab, StanfordColumbiaML systems & compilers

Hawkeye: Hardware-Aware GPU Kernel Optimization with Minimal Supervision

Arya Tschand, Kesavan Ramakrishnan, Alexander Ingare, Simon Guo 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 2026City University of Hong KongXidianColumbiaThe University of Hong KongVideo-language models

Diagnosing and Correcting Bias in MLLM for Long Video Understanding

Xusheng Liang, Jianqiao Sun, Hao Zhang, Yulei Niu 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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NeurIPS 2026Columbia University NYU CourantColumbiaProbing & representation analysis

Structural Blindness in Latent Data Assimilation: Representation Geometry Misleads Sensor Design

Yongquan Qu, Pierre Gentine

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

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NeurIPS 2026City University of Hong KongU Illinois ChicagoDalian University of TechnologyMohamed bin Zayed University of Mila - Quebec AI Institute &RL for LLMs

How Data Scales in Agentic Reinforcement Learning: Laws and Synthesis Strategies

Bowei He, Yankai Chen, Xiaokun Zhang, Changjiang Han and 3 more

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

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NeurIPS 2026SpotlightColumbiaRWTH AachenMohamed bin Zayed University of Causal inference

Causal Discovery over Clusters of Variables in Non-Markovian Systems

Tara Anand, Adèle H Ribeiro, Jin Tian, George Hripcsak and 1 more

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

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NeurIPS 2026MetaColumbiaMathSI, MetaRL for LLMs

Aligning LLMs Toward Multi-Turn Conversational Outcomes Using Iterative RLHF

Daniel Jiang, Ankur Samanta, Yukai Yang, Jalaj Bhandari and 2 more

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

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NeurIPS 2026ColumbiaU Texas Southwestern Medical CenSpatio-temporal forecasting

NeuralFieldManifold: Reconstruction of LFP manifold with Lag Embedding

Kasra Fallah, Haoyu N Chen, Rudramani Singha, Eunji Kong and 3 more

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

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NeurIPS 2026ColumbiaSeoul NationalQuantization

DictLLM: Post-training Compression of Large Language Model with Dictionary Kernels

Jinho PARK, Se Young Chun, Mingoo Seok

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026ColumbiaU ChicagoWashington University, Saint LouChristian-Albrechts-Universität Graph neural networks

Bias, Measurement Error, and Double-Dipping: When Can GNN Convolutions Help Brain Connectome Prediction?

Tommaso Castellani, Jiaqi Li, Muriah D Wheelock, Rezwana R Razzaque and 3 more

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

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NeurIPS 2026U AmsterdamDeutsches Zentrum für Luft- und German Aerospace CenterDeutsches Zentrum für Luft- und ColumbiaWeather & climate

PhysEval.Weather: An Evaluation Framework for Physical Consistency in ML Weather Models

Emma Kasteleyn, Timo Maier, Axel Lauer, Veronika Eyring 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 2026Hong Kong PolytechnicColumbiaDiffusion models

ART for Diffusion Sampling: A Reinforcement Learning Approach to Timestep Scheduling

Yilie Huang, Wenpin Tang, XUNYU ZHOU

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

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NeurIPS 2026Hong Kong PolytechnicColumbiaDiffusion models

Amortized Guidance for Image Inpainting with Pretrained Diffusion Models

Yilie Huang, XUNYU ZHOU

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

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NeurIPS 2026ColumbiaColumbia University, Department LLM evaluation & benchmarks

Be CARE-ful with Text-to-SQL Benchmarks

Haonan Wang, Jiaxiang Liu, Elaine Ang, Tiancheng Ge and 7 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026AvasthaColumbiaU MarylandAI oversight & deception

Answering At Any Cost: Frontier LLMs Are Consequence-Insensitive

Arka Pal, Kwok C Au, Louai Zahran, Rahul K Thomas and 3 more

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

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NeurIPS 2026ColumbiaMulti-agent RL

Learning in Causal Markov Games

Aurghya Maiti, Elias Bareinboim

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

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NeurIPS 2026Chung-AngColumbiaColumbiaSeoul NationalExploration

Variance-Adaptive Optimal Algorithm for Reinforcement Learning with MNL Function Approximation

Wonyoung Kim, Garud Iyengar, Assaf Zeevi, Min-hwan Oh

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

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NeurIPS 2026New YorkUCLAU Illinois at Urbana-ChampaignColumbiaNYULLM reasoning & chain of thought

Understanding Reasoning from Pretraining to Post-Training: Chess as a Controlled Testbed

Jingyan Shen, Ang Li, Salman Rahman, Yifan Sun and 3 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026ColumbiaDomain adaptation

Structure-Adaptive Estimation of Heterogeneous Treatment Effects with Kernel Methods

Seok-Jin Kim

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026The University of Texas at AustiNortheasternMATS ProgramU OxfordColumbiaAlignment & preference optimization

Persona Vectors: Monitoring and Controlling Character Traits in Language Models

Runjin Chen, Andy Arditi, Henry Sleight, Owain Evans and 1 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026ColumbiaLearning theory

A mathematical theory of balancing relational generalization and memorization

A theory of transitive inference with exceptions shows relational generalization and memorization depend on representational geometry, with pretrained language models exhibiting predicted systematic errors.

Luke Cheng, Samuel Lippl

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

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NeurIPS 2026ColumbiaDepartment of Computer Science, Meta, transfer & few-shot learning

Re-evaluating Continual Learning with Few-Shot Adaptation

Few-shot evaluation of continual learning reveals that meta-learning future tasks improves per-shot plasticity and stability across sequences.

Amogh Inamdar, Matthew So, Vici I Milenia, Richard Zemel

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

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lenient 4/5
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NeurIPS 2026ColumbiaThe Chinese University of Hong KDartmouth CollegeMicrosoftMicrosoft ResearchLLM agents & planning

Reinforcement World Model Learning for LLM-based Agents

RWML learns action-conditioned world models for LLM agents via self-supervised sim-to-real alignment, outperforming direct task-success RL by up to 6.9 points without expert data.

Xiao Yu, Baolin Peng, Ruize Xu, yelong shen and 5 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 28 on Hugging Face

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AI panel: 10 of 20 reviewers recommend it
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NeurIPS 2026ColumbiaLLM pretraining & scaling laws

Training for the Model You Return: Improving Optimization for Iterate-Averaged Language Models

PACE wraps AdamW to pull live weights toward their EMA with clipped per-coordinate control, improving iterate-averaged LM training and reducing error by arbitrarily large factors in quadratics while boosting 1-2B SFT and GPT-2 pretraining.

Kwok C Au, Adam Block

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

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
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NeurIPS 2026OralStanfordColumbiaFlorida StateCold Spring Harbor LaboratoryComputational neuroscience

BEAST3D: animal behavioral analysis and neural encoding from multi-view video via Gaussian splatting

BEAST3D relates 3D behavioral features from multi-view video to neural activity via Gaussian splatting. It establishes a versatile framework for behavioral analysis using 3D structure in laboratory recordings.

Yanchen Wang, Lenny Aharon, Wangshu Zhu, Kyle Daruwalla and 6 more

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

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