Good Papers

Showing papers from Texas A&M University - College Station Show all papers

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NeurIPS 2026Texas A&MTexas A&M University - ColleGenomics & single-cell

PerturbReason: A Knowledge-Grounded Benchmark and Framework for Cell-State–Conditioned Mechanistic Reasoning of Perturbation Effects

Dongkwan Kim, Yiming Gao, Yining Yang, Yang Shen

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

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NeurIPS 2026U Hong KongMITThe Hong Kong University of ScieTencentTexas A&M University - ColleVideo generation

TKCAM: Text and Keyframe to Camera Trajectory Generation

Haozhe Yang, Zhiyang Dou, Zekai Gu, Cheng Lin and 3 more

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

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NeurIPS 2026StanfordU Minnesota - Twin CitiesU Wisconsin - MadisonJohns HopkinsTexas A&M University - Colle3D generation

AnaDiffusion: Anatomically Compositional Latent Diffusion for Controllable 3D Brain MRI Generation

Tracy Han, Lulin Liu, Bangya Liu, Yuanhao Cai and 7 more

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

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lenient 2/5
medium 0/10
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NeurIPS 2026Texas A&M University - ColleCSAIL, MITGoogle Deepmind / HarvardHarvardDeep RL

Iterative Gumbel Planning for Continuous Control

Shaohuai Liu, Weirui Ye, Yilun Du, Le Xie

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

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NeurIPS 2026U Texas at AustinU AlbertaTexas A&M University - ColleKAISTMulti-agent RL

Beyond Training Time, Test-Time Coordination is Essential for Cooperative MARL

Dongsu Lee, Sooraj Sathish, Joonkyung Kim, Woojun Kim 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 2026SpotlightTexas A&MTexas A&M University - ColleTexas A&M university Vision-language models

Tune-Up Open-Weight CLIP: Optimization Framework for Self-Supervised Fine-tuning of CLIP

Anant Mehta, Xiyuan Wei, Xingyu Chen, Tianbao Yang

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

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NeurIPS 2026Texas A&M University - ColleTexas A&MTexas A&MActive learning

CLUE: Correlated Latent Uncertainty for Single-Pass Deep Uncertainty Estimation

Yucheng Wang, Wenyuan Zhao, Weifeng Zhang, Chao Tian and 1 more

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

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57%Worth a look
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NeurIPS 2026Texas A&M University QatarU BonnTexas A&M University - ColleHamad Bin KhalifaVideo understanding

Perception, Not Reasoning, Limits Visual Theory of Mind

Mohamed Rayan Barhdadi, Syed Talal Wasim, Jürgen Gall, Erchin Serpedin 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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medium 0/10
strict 1/5
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NeurIPS 2026Texas A&M University - ColleAdobe SystemsHuawei Technologies Ltd.Embodied agents

Beyond Thinking: Imagining in 360$^\circ$ for Humanoid Visual Search

Imagining in 360° decouples humanoid visual search into an Imaginator predicting spatial priors and an Actor using them to improve search efficiency without costly trajectory annotations.

Jingdong Zhang, Yizhou Wang, Zhengzhong Tu, Xin Li and 2 more

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

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AI panel: 10 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 0/5
72%Highly rated
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NeurIPS 2026U MinnesotaTexas A&MTexas A&M University - ColleU Minnesota - Twin CitiesStanford3D vision & reconstruction

DarkVGGT: Seeing Through Darkness Using Thermal Geometry without Daylight Tax

DarkVGGT uses physics-aware thermal modeling and geometry-shared routing to boost feed-forward 3D reconstruction in darkness without impairing daylight performance.

Minseong Kweon, Wenyuan Zhao, Nuo Chen, Lulin Liu and 5 more

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

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AI panel: 8 of 20 reviewers recommend it
lenient 5/5
medium 3/10
strict 0/5
76%Highly rated
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NeurIPS 2026YonseiKorea Advanced Institute of ScieSung Kyun KwanTexas A&M University - ColleSamsungAgent 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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lenient 4/5
medium 6/10
strict 0/5
86%Must read
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NeurIPS 2026Texas A&M University - ColleKorea Advanced Institute of ScieVideo 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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14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 2/5
74%Highly rated
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NeurIPS 2026U California, San DiegoAmazonAmazon Store Foundational AI / SMeta Superintelligence LabsTexas A&M University - ColleRL for LLMs

Stepwise Penalization for Length-Efficient Chain-of-Thought Reasoning

SWAP assigns step-level length penalties based on reasoning contribution, cutting chain-of-thought length by 64.3% and boosting accuracy 5.7% over base models.

Xintong Li, Sha Li, Rongmei Lin, Hongye Jin and 9 more

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

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AI panel: 9 of 20 reviewers recommend it
lenient 5/5
medium 4/10
strict 0/5
91%Must read
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NeurIPS 2026RedditTexas A&M University - ColleAmazonAmazon.comLLM agents & planning

PACE: Two-Timescale Self-Evolution for Small Language Model Agents

PACE uses two-timescale self-evolution to let frozen small language models improve agents via validated prompt and control updates, outperforming baselines on 12 settings by up to 9.2%.

Chen Ling, Pei Chen, Xiangchen Guan, Jiaming Qu and 3 more

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

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18/20 AI panelreviewers recommend it

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AI panel: 18 of 20 reviewers recommend it
lenient 5/5
medium 10/10
strict 3/5
91%Must read
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NeurIPS 2026Michigan StateAmazonNortheasternTexas A&M University - ColleCarnegie MellonLLM evaluation & benchmarks

SPANUQ: Span-Level Uncertainty Quantification for Large Language Model Generation

SPANUQ is a lightweight probe that estimates span-level LLM generation uncertainty via hidden-state distillation, outperforming sampling methods with 10, 20x speedups and 0.910 F1 span detection.

Yimeng Zhang, Yingying Zhuang, Ziyi Wang, Yuxuan Lu and 11 more

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

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AI panel: 17 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 3/5
89%Must read
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NeurIPS 2026SpotlightGoogle DeepMindU California, San DiegoU WaterlooStanford; Noeri AITencentLLM agents & planning

Beyond Semantic Similarity: Rethinking Retrieval for Agentic Search via Direct Corpus Interaction

Direct corpus interaction uses terminal tools to search raw corpora directly, bypassing fixed retrieval interfaces and substantially outperforming sparse, dense, and reranking baselines on agentic search benchmarks.

Zhuofeng Li, Haoxiang Zhang, Cong Wei, Pan Lu and 14 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 125 on Hugging Face · Code ★ 408

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16/20 AI panelreviewers recommend it

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 2/5
74%Highly rated
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NeurIPS 2026Texas A&M University - ColleTexas A&M UniverKorea Advanced Institute of ScieFacebookMeta PlatformsControllable 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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AI panel: 9 of 20 reviewers recommend it
lenient 5/5
medium 4/10
strict 0/5
70%Highly rated
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NeurIPS 2026YaleTexas A&M University - ColleBrownState University of New York at U Texas, AustinMulti-agent LLM systems

RuleSmith: Multi-Agent LLMs for Automated Game Balancing

RuleSmith uses multi-agent LLM self-play and Bayesian optimization to automatically balance complex games and find highly balanced rule configurations.

Ziyao Zeng, Hao Wang, Chen Liu, Youheng Yao and 10 more

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

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5/20 AI panelreviewers recommend it

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AI panel: 5 of 20 reviewers recommend it
lenient 5/5
medium 0/10
strict 0/5