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arXivTsinghua Zhipu AI U Electronic Science and Technol Agent benchmarks & environments

MTAC-IFBench: Benchmarking Instruction-Following in Multi-Turn Agentic Coding

MTAC-IFBench benchmarks multi-turn instruction-following in agentic coding via progressive constraints, revealing rapid performance degradation in current code agents as sessions lengthen.

Bosi Wen, Cunxiang Wang, Jiayi Gui, Haoke Zhang and 5 more

Published Sep 14, 2026 · 0 citations

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NeurIPS 2026Southwest University of Finance Southwestern University of Finan Tencent AI Lab Shenzhen Institutes of Advanced Guangdong Laboratory of Artifici Unified multimodal models

MSCR: Jointly Balancing Modality Utilization and Discovering Synergistic Information

Xinyu Chen, Liangjian Wen, Jiang Duan, Dongkai Wang and 6 more

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

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NeurIPS 2026U Electronic Science and Technol Michigan State Video generation

DynamicRad: Content-Adaptive Sparse Attention for Long Video Diffusion

Yongji Long, Shijun Liang, Jintao Li, Yun Li

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

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NeurIPS 2026U Electronic Science and Technol Alpaca AI Lab Group 42 Sichuan Agricultural Southwest Jiaotong Genomics & single-cell

Layout Before Pixels: Topology-Anchored Transcriptome-to-Histology Generation

Jianwei Zhao, Xin Li, Fan Yang, Qiang Zhai 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 2026Massachusetts Institute of Techn U Electronic Science and Technol Tsinghua Southwest Jiaotong New Jersey Institute of Technolo Domain adaptation

Learning Domain Trajectories with Flow Matching for Gradual Domain Adaptation

Yubo Huang, Zixi Wang, Yushe Cao, Jingzehua Xu and 3 more

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026New Jersey Institute of Technolo U North Carolina at Chapel Hill U Electronic Science and Technol Shandong University of North Carolina at Multi-agent LLM systems

UMAS: System-Level Uncertainty Quantification for Multi-Agent LLM Systems

Hanwen Li, Jinhao Duan, Xiaoshuang Shi, Yue Zhang and 3 more

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

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NeurIPS 2026Huazhong University of Science a U Electronic Science and Technol EbTech Co. Ltd.EB Advanced Computing Laboratory Guangming Laboratory Unified multimodal models

HyperSkill: Multi-Modal Skill Learning on the Unit Hypersphere

Erdemt Bao, JunChen, Weijun Qin, Shaopeng Li and 5 more

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

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NeurIPS 2026SpotlightU Electronic Science and Technol Deep learning theory

Phase Kernel Lifts Capacity of Dense Associative Memory

Yifei Zhao, Ying Tang

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

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NeurIPS 2026Beijing Jiaotong U Electronic Science and Technol Institute for AI Industry Resear Horizon Robotics Carizon Deep RL

Higher-Order Action Supervision Makes A Strong Policy Class

Peng Cheng, Yunxian Hou, Zhi Zhou, Qian Zhang and 2 more

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

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NeurIPS 2026Tongji U Electronic Science and Technol Harbin Institute of Technology Shenzhen Research Institute of B Clinical NLP & EHR

ProCARE: Real-World Study Automation via Profile-Grounded Evidence Contracts

Zhaoyu Fan, Bowen Han, Yanwei Ren, Jincheng Ou and 7 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 Electronic Science and Technol Harbin Institute of Technology, College of Information and Contr KAIST Vision-language models

TPRL: Adaptive Visual Token Pruning in LVLMs via Language-Guided Reinforcement Learning

Sihan Cao, Jianwei Zhang, Pengcheng Zheng, Jiaxin Yan and 6 more

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

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NeurIPS 2026MBZUAI Mohamed bin Zayed University of U Electronic Science and Technol U Notre Dame Mohamed bin Zayed University of Machine unlearning

From Facts to Personas: Interpretable Role Unlearning in LLMs via Mixture-of-Experts

Ruihong Zeng, Puning Yang, Jinghui Zhang, Shen Gao 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 2026U Electronic Science and Technol City University of Hong Kong n/a Medical imaging

Beyond Stabilization: Dual-EMA Teachers for Global–Local Semantic Learning in Semi-Supervised Medical Image Segmentation

KAIBO LIAO, Yazhou Ren, Song Wu, Kecheng Chen 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 Electronic Science and Technol Nanyang Technological Guangming Laboratory Unified multimodal models

BRACE: Bipolar Reference-Aware Calibration and Estimation for Incomplete Multimodal Learning

Ruiting Dai, Zesen Cai, XiaoYu Zhao, Yiting Huang and 3 more

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026U Electronic Science and Technol Singapore Management Universiti Malaya Federated learning

Geometry-Aware Subspace Perturbation for Heterogeneous Federated Learning

Xiangtao Zhang, Hailong Yan, Obed Irihose, Joey Tianyi Zhou 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 2026U Electronic Science and Technol UESTC Time series forecasting

MDK-MoE: Multi-view Decomposed Kalman Mixture of Experts Framework for Non-stationary Time Series Forecasting

Rui Hou, Yao Liu, Ruilin Jiang, Mengyao Lu 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 2026U Electronic Science and Technol Backdoors & data poisoning

When Poison Meets Structure: Topology-based Defense against Poisoning Attack on Graph-based Retrieval-Augmented Generation

Qizhi Chen, Junhao Wen, Shuang Liang, Jiakai Li and 3 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 Electronic Science and Technol Southern University of Science a The Chinese University of Hong K Nanyang Technological Efficient inference & serving

PAC Reasoning: Controlling the Performance Loss for Efficient Reasoning

Hao Zeng, Jianguo Huang, Bingyi Jing, Hongxin Wei 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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NeurIPS 2026U Electronic Science and Technol Bayesian & probabilistic methods

Recovery Guarantees for Posterior Sampling of One-Bit Compressed Sensing

jing ma, Yujia Wu, Zhaoqiang Liu

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

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NeurIPS 2026U Electronic Science and Technol Retrieval-augmented generation

SAGE: Semantic Ambiguity Guided Capacity Expansion for Retrieval-Augmented Generation

Xunlei Chen, Jinyu Guo, Yi Gong, Qirui Ye 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 2026Southern university of science a The Chinese University of Hong K Mohamed bin Zayed University of U Electronic Science and Technol zzmc@scut.edu.cn Semi- & weakly supervised learning

Provable Selective Auto-labeling with Reliability Guarantees

Huipeng Huang, Wenbo Liao, Huajun Xi, Hao Zeng 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 2026Harbin Institute of Technology, State University of New York at Mashang Consumer Finance Co, Ltd U Electronic Science and Technol Harbin Institute of Technology Robot manipulation

CSO: Refining Robotic Policies via Skill Distribution Alignment and Skill-Grained Optimization

Zhiyuan Xiang, Xiang Deng, Wanjie Tao, Xu Chen and 2 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 Electronic Science and Technol Princeton U California, Santa Barbara Optimization

Hessian-Dependent Sample Complexity in Zeroth-Order Stochastic Optimization: Suboptimality of Convex-Support Sampling and Optimal Sample Complexity

Mengtian Hong, Jason Lee, Qian Yu

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

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NeurIPS 2026U Electronic Science and Technol Uncertainty & calibration

Stochastic Grouping Conformal Prediction for Effective Subgroup Reliability

Meihui Zhong, Wenxin Tai, Ting Zhong, Fan Zhou

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026Southern University of Science a Johns Hopkins U Electronic Science and Technol Shenzhen Image recognition

PuppetGait: Generalizing Gait Recognition via 3D Body-Aligned LVM Features

成伟叶, Dingqiang Ye, Chuanfu Shen, Zirui Zhou and 4 more

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

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NeurIPS 2026Institute of automation, Chinese U Electronic Science and Technol The Chinese University of Hong K ByteDance Inc.U Science and Technology Beijing Efficient inference & serving

CompilerKV: Risk-Adaptive KV Cache Compression via Offline Experience Compilation

Ning Yang, Chengzhi Wang, Yibo Liu, Baoliang Tian and 1 more

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

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NeurIPS 2026U Electronic Science and Technol College of Information and Contr Xi'an University of Archite KAIST Adversarial robustness

Dual Feature-Relational Alignment for Transferable Targeted Attacks on MLLMs

Dongshen Han, Xiaorong Tian, Sheng Zheng, Zishan Huang 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 2026U Electronic Science and Technol Shanghai Jiao Tong Uber Zhengzhou U California, Berkeley Video generation

WorldForge: Forging Unified World Modeling into Video Generation

Boming Tan, Xiangdong Zhang, Ning Liao, Jingtao Zhang and 6 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 Electronic Science and Technol Tsinghua Fudan Representation & contrastive learning

SpikeSSL: A Universal Spike Inference Framework with Dynamics-Informed State-Space Layers

Chenghao Yue, Siming Xing, shuran liu, Angran Li 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 Electronic Science and Technol Peking Tsinghua University, Tsinghua Unified multimodal models

Subset-Conditioned Boundary Compensation for Missing-Modality Multimodal Classification

Zesen Cai, Lisi Mo, Yifan Fang, Yandong Yan and 3 more

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026U Electronic Science and Technol Efficient inference & serving

The Dormant Spiking Neuron: A State-Driven Mechanism for Efficient Spiking Neural Networks

Ruichen Ma, Yicai Chen, Pujun Zhou, Yue Zuo and 4 more

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

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NeurIPS 2026Khalifa Mohamed bin Zayed University of Khalifa University of Science, T U Electronic Science and Technol Medical imaging

REFORM-3D: A Representation-Centric Evaluation Framework for 3D Medical Vision Foundation Models

Maregu Assefa, Muhammad Muzammal Naseer, Divya Velayudhan, Gedamu Kumie and 1 more

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026U Science and Technology of Chin Kuaishou Technology Kuaishou- 快手科技 Tongyi Lab, Alibaba Group Huazhong University of Science a Recommender systems

KuaiRecV2: Benchmarking Large-Scale Continual Learning for Diversified and Multi-task Recommendation

Chenxu Li, Shuchang Liu, Hantao Shu, Wei Yuan and 14 more

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

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NeurIPS 2026Tsinghua Southeast University & Carne Peking Zhongguancun Academy U Electronic Science and Technol Activation steering

Why Do DiT Editors Drift? Plug-and-Play Low Frequency Alignment in VAE Latent Space

Xiaoce Wang, Sifan Zhou, Kaifei Wang, Leli Xu 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 2026U Electronic Science and Technol U York Adversarial robustness

Learning Robust Representations for Defending White-Box Adversarial Attacks in Continual Learning

Yusen Chen, Fei Ye, Qihe Liu, Adrian G. Bors 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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NeurIPS 2026U Electronic Science and Technol UESTC U York Instruction tuning

Class-Incremental Learning via LoRA-based Elastic Ensemble of Experts

Ruilong Yu, Fei Ye, Zhiyuan Ren, Qihe Liu 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 2026Harbin Institute of Technology; Shanghai Jiaotong U Electronic Science and Technol Dalian University of Technology Shanghai Jiao Tong Vision-language-action models

Exploring the Limits of Compositional Generalization in Vision-Language-Action Manipulation

Xupeng Zhang, Yantai Yang, Chang Guo, Zhaokai Yin 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 2026MBZUAI Georgia Institute of Technology KAUST U Electronic Science and Technol LLM evaluation & benchmarks

Hearing is Believing? Evaluating and Analyzing Audio Language Model Sycophancy with SYAUDIO

Junchi Yao, Lokranjan Lakshmikanthan, Annie Zhao, Danielle Zhao and 4 more

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

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NeurIPS 2026Ant Group U Electronic Science and Technol U Chicago U Southern California Multi-agent LLM systems

Overcoming Attention Distraction: Training-Free Latent Communication for Multi-Agent Systems

zhengjie zhou, Yahao Liu, Ziyue Feng, Tengfei LIU 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 2026U Electronic Science and Technol Vision-language models

TAMEing the Open-World Personalization: Towards Open-Set Personalized MLLM Assistant

Rongpei Hong, Jian Lang, Ting Zhong, Fan Zhou

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026U Electronic Science and Technol Tsinghua Chengdu Jinfa Edge Intelligence LLM agents & planning

When Further Realization Is Unnecessary: Amortized Reasoning for Long-Horizon LLM Agents

Rongzheng Wang, Jiakai Li, Renzhong Wang, Rongwei Wang and 5 more

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

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NeurIPS 2026U Electronic Science and Technol Controllable generation

MorphSIG: Subject-Driven Image Generation via Decoupled Anchoring and Feature Transport

Hailong Yan, Yongrui Zhang, Xiangtao Zhang, Le Zhang

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

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NeurIPS 2026U Southampton The University of Queensland U Electronic Science and Technol U Illinois Urbana-Champaign Image restoration

CHASM: Cross-frequency Harmonized Axis-Separable Mixing for Spectral Token Operators

CHASM shares a learned channel eigenbasis across frequencies while keeping frequency-specific gains, consistently improving spectral token mixers in MRI and image reconstruction.

Pengcheng Fang, Hongli Chen, Yuxia Chen, Tengjiao Sun and 2 more

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026SpotlightU Electronic Science and Technol Graph neural networks

Spectral Reversal: Counteracting Singular Value Bias for Graph Prompting

Pre-trained GNNs exhibit spectral bias favoring large singular values, and SRP reverses this via spectral masking and null-space augmentation for state-of-the-art graph prompting.

Hanxu Yang, Yuhuan Zhao, Xiaodong He, Zhao Kang

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

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NeurIPS 2026U Electronic Science and Technol Xiaohongshu U the Chinese Academy of Science Shanghai Jiaotong National University of Singapore LLM reasoning & chain of thought

Hint Tuning: Less Data Makes Better Reasoners

Hint Tuning calibrates reasoning depth by using an instruct model as a difficulty probe, cutting tokens by 24-66% with 1K samples.

Siqi Fan, Minghao Li, Xiaoqian Ma, Xiusheng Huang and 5 more

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

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AI panel: 14 of 20 reviewers recommend it

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NeurIPS 2026The University of Tokyo U Electronic Science and Technol Tokyo Time series forecasting

TimeClaw: A Time-Series AI Agent with Exploratory Execution Learning

TimeClaw learns reusable hierarchical experience from exploratory time-series executions via explore-compare-distill-reinject loops, improving reasoning without online adaptation.

Hangchen Liu, Dongyuan Li, Renhe Jiang, Jiewen Deng 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 2026Beijing Academy of Artificial In Shanghai Jiaotong U Electronic Science and Technol Hainan The Hong Kong University of Scie 3D vision & reconstruction

Focusable Monocular Depth Estimation

FocusDepth uses spatially-aligned multi-scale prompt fusion to boost target-region depth accuracy and sharp boundaries while preserving global geometry, outperforming global baselines on FDE-Bench.

Yuxin Du, Tao Lin, Zile Zhong, Runting Li 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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AI panel: 15 of 20 reviewers recommend it

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NeurIPS 2026U Electronic Science and Technol Parameter-efficient fine-tuning

Stabilizing the Dynamic Low-Rank Training

SDLRT stabilizes dynamic low-rank training by reinjecting neglected singular directions via a compensation buffer and adaptive rank feedback, enabling trainable high-compression networks and superior PEFT results.

Zhonghan Xu, Ling Wang, Junhao Chen, Jianwei Zhao 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 2026Singapore Management U Electronic Science and Technol Southeast University, China Graph neural networks

Understanding and Mitigating Under-Confidence in GNNs from the Final Layer

A unified framework reveals GNN under-confidence stems from final-layer weight decay and node distance, fixed by reducing decay and node-level calibration.

Jincheng Huang, Jie Xu, Ping Hu, Xiaoshuang Shi and 2 more

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

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NeurIPS 2026U Hong Kong U Electronic Science and Technol Shenzhen Alibaba Group Shanghai Jiao Tong Multi-agent LLM systems

Agent2World: Learning to Generate Symbolic World Models via Adaptive Multi-Agent Feedback

Agent2World uses adaptive multi-agent feedback to generate symbolic world models, achieving state-of-the-art inference and 30.95% fine-tuning gains.

Mengkang Hu, Bowei Xia, Yuran Wu, Ailing Yu and 8 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 2 on Hugging Face · Code ★ 26

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NeurIPS 2026Peking Huazhong University of Science a Institute of Automation, Chinese U Electronic Science and Technol Mohamed Bin Zayed University of LLM evaluation & benchmarks

K12-KGraph: A Curriculum-Aligned Knowledge Graph for Benchmarking and Training Educational LLMs

K12-KGraph introduces a curriculum-aligned K-12 knowledge graph, benchmark, and training data showing current LLMs achieve under 57 percent accuracy on curriculum cognition and that graph-guided supervision outperforms generic instruction tuning.

Hao Liang, Qihan Lin, Mingrui Chen, Hengyi Feng and 6 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 62 on Hugging Face · Code ★ 392

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AI panel: 19 of 20 reviewers recommend it

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NeurIPS 2026U Electronic Science and Technol Shanghai Jiaotong Beijing University of Posts and Chongqing Afari Intelligent Driv Megvii Technology Inc.Embodied agents

CoWorld-VLA: Thinking in a Multi-Expert World Model for Autonomous Driving

CoWorld-VLA embeds multi-expert world tokens into vision-language-action models and couples diffusion planning with scene context to generate continuous ego trajectories, improving autonomous driving performance.

Jingqi Wang, minqing huang, Zihan Liang, Yujiao Xiang and 6 more

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

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AI panel: 12 of 20 reviewers recommend it

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NeurIPS 2026U Electronic Science and Technol A*STAR Singapore Sichuan Agency for Science, Technology a Institute of High Performance Co Efficient & distributed training

Efficient Dataset Distillation for Pre-Trained Self-Supervised Models via Statistical Flow Matching

Statistical Flow Matching replaces local gradient matching with global statistical flow alignment to distill self-supervised datasets 4x faster using 10x less GPU memory.

Qianxin Xia, JIAWEI DU, Yuhan Zhang, xin zhang and 5 more

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

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AI panel: 11 of 20 reviewers recommend it

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