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arXivCarnegie Mellon LLM agents & planning

Selection-Based Structured Reasoning: Toward Efficient Multimodal Search Agents

Selection-based Structured Reasoning replaces open-ended reasoning with selection among reusable candidates, cutting per-turn latency over 90% while matching leading small-model search agents' success rates.

Feiyu Gavin Zhu, Xiaoyu Zhu, Jiqi Yang, Rui Yang and 8 more

Published Oct 1, 2026 · 0 citations · ▲ 3 on Hugging Face · Code

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arXivCarnegie Mellon U Illinois Urbana-Champaign U California San Diego Embodied agents

Video2Skill: From Streaming Experience to Reusable Embodied Skills

Video2Skill benchmarks streaming embodied skill discovery, showing VLMs group manipulation events poorly and rarely expand skill libraries despite supervised fine-tuning.

Jianshu Zhang, Ce Zhang, Xiyuan Yang, Chenwei Xu and 5 more

Published Sep 29, 2026 · 0 citations · ▲ 11 on Hugging Face

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arXivU California San Diego Carnegie Mellon Multimodal reasoning

WM-VLM: Probing Internal World Models for Interleaved Visual-Textual Reasoning

WM-VLM adds a world-model branch to vision-language models to generate intermediate visual states for spatial reasoning, outperforming baselines by up to 39.25 points on mental rotation tasks.

Yuheng Zha, Yilei Wang, Qiyue Gao, Junrong Chen and 4 more

Published Sep 28, 2026 · 0 citations · ▲ 11 on Hugging Face · Code ★ 1

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NAACL 2024U Washington Allen Institute for Artificial I Carnegie Mellon Summarization

P3Sum: Preserving Author’s Perspective in News Summarization with Diffusion Language Models

P3Sum uses diffusion language models to preserve authorial perspective in news summarization, outperforming autoregressive baselines on perspective fidelity.

Yuhan Liu, Shangbin Feng, Xiaochuang Han, Vidhisha Balachandran and 3 more

Published 2024 · 2 citations

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ACL 2024U Washington U California, Berkeley Hong Kong University of Science Carnegie Mellon Hallucination & factuality

Don’t Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration

Multi-LLM collaboration detects knowledge gaps to make LLMs abstain from wrong answers instead of hallucinating.

Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding and 2 more

Published 2024 · 37 citations

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ACL 2023U Washington Carnegie Mellon Xi'an Jiaotong Fairness & bias

From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models

Pretraining data political biases propagate through language models into unfair hate speech and misinformation detectors, reinforcing polarization.

Shangbin Feng, Chan Young Park, Yuhan Liu, Yulia Tsvetkov

Published 2023 · 138 citations

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NeurIPS 2026Carnegie Mellon U Maryland CMU LLM pretraining & scaling laws

Language Models Need Sleep

Sangyun Lee, Sean McLeish, Tom Goldstein, Giulia Fanti

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

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NeurIPS 2026Carnegie Mellon Stanford Learning theory

Bentkus-type asymptotic e-values

Diego Martinez Taboada, Ben Chugg, Aaditya Ramdas

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

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NeurIPS 2026Carnegie Mellon CMU, Carnegie Mellon RL for LLMs

Are we really tilting? The mechanics of reward guidance in flow and diffusion models

Sanjit Dandapanthula, Nicholas Boffi

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

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NeurIPS 2026Carnegie Mellon Mechanistic interpretability

Concept-Localized Generative Representations

Amanda Merkley

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

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NeurIPS 2026SpotlightNew York Carnegie Mellon U Illinois at Urbana-Champaign CMU & MBZUAI Quantization

Requential Coding: Measuring Model Compressibility by Coding Data Instead of Parameters

Shikai Qiu, Marc Finzi, Yujia Zheng, Kun Zhang 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 2026Carnegie Mellon CMU, Carnegie Mellon School of Computer Science, Carn Deep RL

Implicit Goal Conditioning via Value Disaggregation

Shashwat Saxena, Mehul Goel, Sreyas Venkataraman, Sarvesh Patil and 1 more

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

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NeurIPS 2026U Texas at Austin UT Austin Carnegie Mellon UCLA Google DeepMind Optimization

Optimizing Analytic Constants via AI-Guided Lean Proof Refinement

Rahul Saha, Alan Li, Anton Xue, Adam Klivans and 3 more

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

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NeurIPS 2026U Southern California Intel Labs Northwestern Intel Carnegie Mellon Multi-agent LLM systems

TritonTune: LLM-Guided Multi-Agent Optimization of GPU Kernel Configurations

Shukai Duan, Mihai Capotă, Guixiang Ma, Hou-Jen Ko and 4 more

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

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NeurIPS 2026Northeastern Carnegie Mellon Exploration

Markovian Experimental Design under Concept Drift

Ayberk Yarkin Yildiz, Lili Su, Carlee Joe-Wong, Edmund Yeh and 1 more

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

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NeurIPS 2026Tsinghua Carnegie Mellon Tsinghua University, Tsinghua Tsinghua University Efficient inference & serving

TokenRouter: Efficient Serving System for Token-Level LLM Routing

Tianyu Fu, Tengxuan Liu, Ruoxi Wang, Yixin Dong and 3 more

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

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NeurIPS 2026Nanjing University of Aeronautic Nanjing University of Aeronautic Central China Normal Carnegie Mellon Flow matching

ControlFlow3D: Distilling Multi-View Knowledge into Latent Flow Matching for Point Cloud Upsampling

Yuang Liu, Zhi Zuo, Zhengkai Zhao, Lirui Zhang and 3 more

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

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NeurIPS 2026Carnegie Mellon Unified multimodal models

GRAM: Group-wise Rank-Aware Modal Merging via Subspace Alignment

Di Wu, Shuaidong Pan

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

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NeurIPS 2026EPFL Carnegie Mellon CMU/MBZUAI/GenBio CMU, Cartesia AI Long-context modeling

Raven: High-Recall Sequence Modeling via Sparse Memory Routing

Arshia Afzal, Aviv Bick, Eric Xing, Volkan Cevher 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 2026Independent Researcher Peking Amazon Carnegie Mellon U California, San Diego Web & 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

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NeurIPS 2026MIT Carnegie Mellon Deep learning theory

Fast Approximate $\ell_p$ Chamfer Distance via Lopsided Embeddings and Structured JL

Ying Feng, David Woodruff

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

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NeurIPS 2026OralCarnegie Mellon UC Irvine U California, Irvine CMU, Strategy Robot, Optimized M Optimization

Follow the Regularized Leader Does Not Converge in Constrained Optimization

Ioannis Anagnostides, Ioannis Panageas, Nikolas Patris, Tuomas Sandholm

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

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NeurIPS 2026Carnegie Mellon University, Seou Carnegie Mellon Seoul National U Florida Epic Games Vision-language models

MM-SCALE: Evaluating Evidence-Grounded Moral Judgment in Vision-Language Models

Eunkyu Park, Wesley Deng, Cheyon Jin, Matheus Kunzler Maldaner and 7 more

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

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NeurIPS 2026CMU, Carnegie Mellon Carnegie Mellon Amazon Adobe Google DeepMind Multimodal reasoning

ANCHOR: Audio-Visually Grounded Chain-of-Thought Reasoning Benchmark

Joel Julin, Souraja Kundu, Liza Dahiya, George Z Wei and 5 more

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

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NeurIPS 2026Carnegie Mellon CMU, Carnegie Mellon CMU Efficient inference & serving

Learning Hierarchical Patch Splitting Policies for Faster Vision Transformers

Aditya Gupta, Jean S Dandurand, Kai Qiu, Rohan Choudhury 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 2026MIT Carnegie Mellon New York OpenAI Massachusetts Institute of Techn Game playing

A Regularization-Based Approach to Public Belief State Search for Adversarial Games

Sobhan Mohammadpour, Samuel Sokota, Brandon Kaplowitz, Zico Kolter 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 2026Dartmouth College Carnegie Mellon New York LLM reasoning & chain of thought

When Form Changes but Logic Doesn’t: Building Logic-invariant LLMs through Structures

Xuyuan Liu, Xinshuai Dong, Elynn Chen, Yujun Yan

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

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NeurIPS 2026Technical University of Munich Technische Universität München Imperial College London U Oxford Institute of Computer Science, L Agent benchmarks & environments

MedFlowBench: Auditing Medical Agents in Full-Study Workflows

Weixiang Shen, Chengzhi Shen, Che Liu, Junde Wu and 10 more

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

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NeurIPS 2026Carnegie Mellon U Pittsburgh Diffusion models

Discrete Diffusion Playground: A 2D Benchmark for Discrete Generative Models

Justin Shao, Sihyun Park, David Koes, Maria Chikina

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

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NeurIPS 2026Carnegie Mellon Backdoors & data poisoning

Emergent Misalignment as Data-Mediated Transfer

Baris Askin, Muhammed Ustaomeroglu, Anupam Nayak, Gauri Joshi 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 2026U California, Berkeley Peking U Science and Technology of Chin Carnegie Mellon Stanford Software engineering agents

Verify0: Can AI Agents Build Formally Verified Software Repositories?

Zhe Ye, Hantao Lou, Yuechun Sun, Peiyang Song 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 2026Carnegie Mellon U Delaware CMU, Carnegie Mellon Deep learning theory

Beyond Eigenfunctions: Divergence Principal Functions for Representation Learning

Ritabrata Ray, Sahil Dharod, Burak Varıcı, Nicholas Boffi 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 2026Princeton CMU, Carnegie Mellon Carnegie Mellon Colfax International NVIDIA Efficient attention & state-space models

GPU Hierarchy Meets Structured Matrices: Fast Algorithms for State-Space Models

Berlin Chen, Caitlin Wang, Aakash Sunil Lahoti, Kevin Li and 7 more

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

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NeurIPS 2026Stanford U Washington U Washington; Meta Carnegie Mellon Stanford University/Pinterest Unified multimodal models

M*: A Modular, Extensible, Serving System for Multimodal Models

Atindra Jha, Naomi Sagan, Keisuke Kamahori, Irmak Sivgin and 8 more

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

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NeurIPS 2026Carnegie Mellon Controllable generation

GeoFidelity-Bench: Evaluating Block-Conditioned Geographic Fidelity of Street-View Generation

Kaizhen Tan

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

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NeurIPS 2026Mohamed bin Zayed University of Carnegie Mellon MBZUAI&CMU CMU & MBZUAI Datasets & benchmarks

MEV: A Multi-Event Video Dataset for Long-Take Generation

Peiyuan Zhu, Shaoan Xie, Yifan Shen, Wen Tian and 3 more

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

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NeurIPS 2026Carnegie Mellon Washington University in St. Lou Vision backbones

SLVR: Structured Latent Visual Reasoning via Human-like Reasoning Flows

Albert Gao, Bing Xue, Andrea Zanette

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

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NeurIPS 2026U California, Merced The Chinese University of Hong K ByteDance Inc.Carnegie Mellon Google DeepMind / UC Merced Video generation

Learning to Correct Geometry in Generated Videos

Weijie Lyu, Tiancheng SHEN, Xiangtai Li, Yujing Wang and 4 more

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

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NeurIPS 2026CMU, Carnegie Mellon National University of Singapore Carnegie Mellon DEVCOM Army Research Laboratory Google Deepmind / Harvard Navigation & SLAM

Trajectory Planning without Trajectory Data: A Manifold-Guided Approach

Silong Yong, Anji Liu, Cunxi Dai, Carl Busart and 4 more

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

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NeurIPS 2026Carnegie Mellon Rice CMU, Carnegie Mellon National University of Singapore School of Computer Science, Carn Efficient attention & state-space models

Vortex: Efficient and Programmable Sparse Attention Serving

Zhuoming Chen, Xinrui Zhong, Qilong Feng, Ranajoy Sadhukhan and 4 more

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

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lenient 1/5

medium 0/10

strict 0/5

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