---
title: "NeurIPS 2025 — all accepted papers, page 26 — Elamur Research"
description: "All 5,819 papers of NeurIPS 2025 · page 26 of 59, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/26/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/26/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [NeurIPS](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/) / [2025](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/) / [papers](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/) / page 26

# NeurIPS 2025: all accepted papers

5,819 papers · page 26 of 59 · the most cited first · [← NeurIPS 2025](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/)

[← prev](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/25/) [1](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/) … [20](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/20/) … [25](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/25/) **26** [27](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/27/) … [30](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/30/) … [59](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/59/) [next →](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/27/)

2501. **[Blackbox Model Provenance via Palimpsestic Membership Inference ↗](https://doi.org/10.52202/085713-5421)**Rohith Kuditipudi, Jing Yu Huang, Sally Zhu et al.
2502. **[Blameless Users in a Clean Room: Defining Copyright Protection for Generative Models ↗](https://doi.org/10.52202/085713-1903)**Aloni Cohen
2503. **[Blending Complementary Memory Systems in Hybrid Quadratic-Linear Transformers ↗](https://doi.org/10.52202/085713-0012)**Kazuki Irie, Morris Yau, Samuel J. Gershman
2504. **[Blindfolded Experts Generalize Better: Insights from Robotic Manipulation and Videogames ↗](https://doi.org/10.52202/085713-4284)**Ev Zisselman, Mirco Mutti, Shelly Francis-Meretzki et al.
2505. **[Block Coordinate Descent for Neural Networks Provably Finds Global Minima ↗](https://doi.org/10.52202/085713-5288)**Shunta Akiyama
2506. **[Block-Biased Mamba for Long-Range Sequence Processing ↗](https://doi.org/10.52202/085713-4022)**Annan Yu, N. Benjamin Erichson
2507. **[Block-Diagonal LoRA for Eliminating Communication Overhead in Tensor Parallel LoRA Serving ↗](https://doi.org/10.52202/085713-0010)**Xinyu Wang, Jonas Kübler, Kailash Budhathoki et al.
2508. **[BlockDecoder: Boosting ASR Decoders with Context and Merger Modules ↗](https://doi.org/10.52202/085713-5716)**Darshan Prabhu, Preethi Jyothi
2509. **[BlockScan: Detecting Anomalies in Blockchain Transactions ↗](https://doi.org/10.52202/085713-3350)**Jiahao Yu, Xian Wei Wu, Hao Liu et al.
2510. **[BlurGuard: A Simple Approach for Robustifying Image Protection Against AI-Powered Editing ↗](https://doi.org/10.52202/085713-0964)**Jinsu Kim, Yunhun Nam, Minseon Kim et al.
2511. **[Bohdi: Heterogeneous LLM Fusion with Automatic Data Exploration ↗](https://doi.org/10.52202/085713-1426)**俊琪 高, Zhichang Guo, Dazhi Zhang et al.
2512. **[BoltzNCE: Learning likelihoods for Boltzmann Generation with Stochastic Interpolants and Noise Contrastive Estimation ↗](https://doi.org/10.52202/085713-5574)**Rishal Aggarwal, Jacky H. K. Chen, Nicholas M. Boffi et al.
2513. **[Boosting Adversarial Transferability with Spatial Adversarial Alignment ↗](https://doi.org/10.52202/085713-0893)**Zhaoyu Chen, Haijing Guo, Kaixun Jiang et al.
2514. **[Boosting Skeleton-based Zero-Shot Action Recognition with Training-Free Test-Time Adaptation ↗](https://doi.org/10.52202/085713-3458)**Jingmin Zhu, Anqi Zhu, Hossein Rahmani et al.
2515. **[Boosting the Uniqueness of Neural Networks Fingerprints with Informative Triggers ↗](https://doi.org/10.52202/085713-2850)**Zhuomeng Zhang, Fangqi Li, Hanyi Wang et al.
2516. **[Bootstrap Off-policy with World Model ↗](https://doi.org/10.52202/085713-4470)**Guojian Zhan, Likun Wang, Xiangteng Zhang et al.
2517. **[Bootstrap Your Uncertainty: Adaptive Robust Classification Driven by Optimal-Transport ↗](https://doi.org/10.52202/085713-3069)**Jiawei Huang, Minming Li, Hu Ding
2518. **[Bootstrapping Hierarchical Autoregressive Formal Reasoner with Chain-of-Proxy-Autoformalization ↗](https://doi.org/10.52202/085713-0683)**Qi Liu, Xinhao Zheng, Renqiu Xia et al.
2519. **[Born a Transformer — Always a Transformer? On the Effect of Pretraining on Architectural Abilities ↗](https://doi.org/10.52202/085713-3191)**Mayank Jobanputra, Yana Veitsman, Yash Sarrof et al.
2520. **[Boundary-Value PDEs Meet Higher-Order Differential Topology-aware GNNs ↗](https://doi.org/10.52202/085713-2604)**Yunfeng Liao, Yangxin Wu, Xiucheng Li
2521. **[Boundary-to-Region Supervision for Offline Safe Reinforcement Learning ↗](https://doi.org/10.52202/085713-1941)**Huikang Su, Dengyun Peng, Zifeng Zhuang et al.
2522. **[Bounds on the computational complexity of neurons due to dendritic morphology ↗](https://doi.org/10.52202/085713-4957)**Anamika Agrawal, Michael A. Buice
2523. **[BraVE: Offline Reinforcement Learning for Discrete Combinatorial Action Spaces ↗](https://doi.org/10.52202/085713-2400)**Matthew Landers, Taylor W. Killian, Hugo Barnes et al.
2524. **[Brain network science modelling of sparse neural networks enables Transformers and LLMs to perform as fully connected ↗](https://doi.org/10.52202/085713-1610)**Yingtao Zhang, Diego Cerretti, Jialin Zhao et al.
2525. **[Brain-Inspired fMRI-to-Text Decoding via Incremental and Wrap-Up Language Modeling ↗](https://doi.org/10.52202/085713-5015)**Wentao Lu, Dong Nie, Pengcheng Xue et al.
2526. **[Brain-Like Processing Pathways Form in Models With Heterogeneous Experts ↗](https://doi.org/10.52202/085713-2800)**Jack Cook, Danyal Akarca, Rui Ponte Costa et al.
2527. **[Brain-like Variational Inference ↗](https://doi.org/10.52202/085713-5465)**Hadi Vafaii, Dekel Galor, Jacob L. Yates
2528. **[Brain-tuning Improves Generalizability and Efficiency of Brain Alignment in Speech Models ↗](https://doi.org/10.52202/085713-4079)**Omer Moussa, Mariya Toneva
2529. **[BrainEC-LLM: Brain Effective Connectivity Estimation by Multiscale Mixing LLM ↗](https://doi.org/10.52202/085713-4105)**Wen Xiong, Junzhong Ji, Jinduo Liu
2530. **[BrainFlow: A Holistic Pathway of Dynamic Neural System on Manifold ↗](https://doi.org/10.52202/085713-1076)**Zhixuan Zhou, Tingting Dan, Guorong Wu
2531. **[BrainMoE: Cognition Joint Embedding via Mixture-of-Expert Towards Robust Brain Foundation Model ↗](https://doi.org/10.52202/085713-0141)**Ziquan Wei, Tingting Dan, Tianlong Chen et al.
2532. **[BrainODE: Neural Shape Dynamics for Age- and Disease-aware Brain Trajectories ↗](https://doi.org/10.52202/085713-3954)**Wonjung Park, Suhyun Ahn, Maria Hernandez et al.
2533. **[Breaking AR’s Sampling Bottleneck: Provable Acceleration via Diffusion Language Models ↗](https://doi.org/10.52202/085713-0392)**Gen Li, Changxiao Cai
2534. **[Breaking the Compression Ceiling: Data-Free Pipeline for Ultra-Efficient Delta Compression ↗](https://doi.org/10.52202/085713-0782)**Xiaohui Wang, Hancheng Ye, Chen Yu Huang et al.
2535. **[Breaking the Discretization Barrier of Continuous Physics Simulation Learning ↗](https://doi.org/10.52202/085713-2714)**Fan Xu, Hao Wu, Nan Wang et al.
2536. **[Breaking the Frozen Subspace: Importance Sampling for Low-Rank Optimization in LLM Pretraining ↗](https://doi.org/10.52202/085713-0343)**Haochen Zhang, Junze Yin, Guanchu Wang et al.
2537. **[Breaking the Gradient Barrier: Unveiling Large Language Models for Strategic Classification ↗](https://doi.org/10.52202/085713-1644)**Xinpeng Lv, Yunxin Mao, Haoxuan Li et al.
2538. **[Breaking the Order Barrier: Off-Policy Evaluation for Confounded POMDPs ↗](https://doi.org/10.52202/085713-1656)**Qi Kuang, Jiayi Wang, Fan Zhou et al.
2539. **[Breaking the Performance Ceiling in Reinforcement Learning requires Inference Strategies ↗](https://doi.org/10.52202/085713-0805)**Félix Chalumeau, Daniel Rajaonarivonivelomanantsoa, Ruan John de Kock et al.
2540. **[Breakthrough Sensor-Limited Single View: Towards Implicit Temporal Dynamics for Time Series Domain Adaptation ↗](https://doi.org/10.52202/085713-3123)**Mingyang Liu, Xinyang Chen, Xiucheng Li et al.
2541. **[BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection ↗](https://doi.org/10.52202/085713-0950)**Yihan Wang, Yiwei Lu, Xiao-Shan Gao et al.
2542. **[Bridging Arbitrary and Tree Metrics via Differentiable Gromov Hyperbolicity ↗](https://doi.org/10.52202/085713-5478)**Pierre Houédry, Nicolas Courty, Florestan Martin-Baillon et al.
2543. **[Bridging Brains and Concepts: Interpretable Visual Decoding from fMRI with Semantic Bottlenecks ↗](https://doi.org/10.52202/085713-2905)**Sara Cammarota, Matteo Ferrante, Nicola Toschi
2544. **[Bridging Critical Gaps in Convergent Learning: How Representational Alignment Evolves Across Layers, Training, and Distribution Shifts ↗](https://doi.org/10.52202/085713-4690)**Chaitanya Kapoor, Sudhanshu Srivastava, Meenakshi Khosla
2545. **[Bridging Crypto with ML-based Solvers: the SAT Formulation and Benchmarks ↗](https://doi.org/10.52202/085713-2450)**Xinhao Zheng, Xinhao Song, Bolin Qiu et al.
2546. **[Bridging Equivariant GNNs and Spherical CNNs for Structured Physical Domains ↗](https://doi.org/10.52202/085713-5508)**Colin Kohler, Purvik Patel, Nathan Vaska et al.
2547. **[Bridging Expressivity and Scalability with Adaptive Unitary SSMs ↗](https://doi.org/10.52202/085713-0743)**Arjun Karuvally, Franz Nowak, Andy Keller et al.
2548. **[Bridging Human and LLM Judgments: Understanding and Narrowing the Gap ↗](https://doi.org/10.52202/085713-0507)**Felipe Maia Polo, Xinhe Wang, Mikhail Yurochkin et al.
2549. **[Bridging Sign and Spoken Languages: Pseudo Gloss Generation for Sign Language Translation ↗](https://doi.org/10.52202/085713-2598)**Jianyuan Guo, Peike Patrick Li, Trevor Cohn
2550. **[Bridging Symmetry and Robustness: On the Role of Equivariance in Enhancing Adversarial Robustness ↗](https://doi.org/10.52202/085713-5314)**Longwei Wang, Ifrat Ikhtear Uddin, KC Santosh et al.
2551. **[Bridging Theory and Practice in Link Representation with Graph Neural Networks ↗](https://doi.org/10.52202/085713-4090)**Veronica Lachi, Francesco Ferrini, Antonio Longa et al.
2552. **[Bridging Time and Linguistics: LLMs as Time Series Analyzer through Symbolization and Segmentation ↗](https://doi.org/10.52202/085713-4153)**Jianyang Qin, Chaoyang Li, Jinhao Cui et al.
2553. **[Bridging the Gap Between Cross-Domain Theory and Practical Application: A Case Study on Molecular Dissolution ↗](https://doi.org/10.52202/085713-4311)**Sihan Wang, Wenjie Du, Qing Zhu et al.
2554. **[Bridging the gap to real-world language-grounded visual concept learning ↗](https://doi.org/10.52202/085713-4042)**Whie Jung, Semin Kim, Junee Kim et al.
2555. **[Bringing SAM to new heights: leveraging elevation data for tree crown segmentation from drone imagery ↗](https://doi.org/10.52202/085713-0290)**Mélisande Teng, Arthur Ouaknine, Étienne Laliberté et al.
2556. **[Bubbleformer: Forecasting Boiling with Transformers ↗](https://doi.org/10.52202/085713-0578)**Sheikh Md Shakeel Hassan, Xianwei Zou, Akash Dhruv et al.
2557. **[Buffer layers for Test-Time Adaptation ↗](https://doi.org/10.52202/085713-4715)**Hyeongyu Kim, GeonHui Han, Doisk Hwang
2558. **[Building 3D Representations and Generating Motions From a Single Image via Video-Generation ↗](https://doi.org/10.52202/085713-4174)**Weiming Zhi, Ziyong Ma, Tianyi Zhang et al.
2559. **[BundleFlow: Deep Menus for Combinatorial Auctions by Diffusion-Based Optimization ↗](https://doi.org/10.52202/085713-0569)**Tonghan Wang, Yanchen Jiang, David C. Parkes
2560. **[BurstDeflicker: A Benchmark Dataset for Flicker Removal in Dynamic Scenes ↗](https://doi.org/10.52202/085713-1821)**Lishen Qu, Zhihao Liu, Shihao Zhou et al.
2561. **[C-LoRA: Contextual Low-Rank Adaptation for Uncertainty Estimation in Large Language Models ↗](https://doi.org/10.52202/085713-2263)**Amir Hossein Rahmati, Sanket R. Jantre, Weifeng Zhang et al.
2562. **[C-NAV: Towards Self-Evolving Continual Object Navigation in Open World ↗](https://doi.org/10.52202/085713-4206)**Ming-Ming Yu, Fei Zhu, Wenzhuo Liu et al.
2563. **[C-SEO Bench: Does Conversational SEO Work? ↗](https://doi.org/10.52202/085713-0923)**Haritz Puerto, Martin Gubri, Tommaso Green et al.
2564. **[C-SafeGen: Certified Safe LLM Generation with Claim-Based Streaming Guardrails ↗](https://doi.org/10.52202/085713-2248)**Mintong Kang, Zhaorun Chen, Bo Li
2565. **[C3PO: Optimized Large Language Model Cascades with Probabilistic Cost Constraints for Reasoning ↗](https://doi.org/10.52202/085713-2832)**Antonios Valkanas, Soumyasundar Pal, Pavel Rumiantsev et al.
2566. **[C3Po: Cross-View Cross-Modality Correspondence by Pointmap Prediction ↗](https://doi.org/10.52202/085713-2113)**Kuan Wei Huang, Brandon Li, Bharath Hariharan et al.
2567. **[CADMorph: Geometry‑Driven Parametric CAD Editing via a Plan–Generate–Verify Loop ↗](https://doi.org/10.52202/085713-3352)**Weijian Ma, Shizhao Sun, Ruiyu Wang et al.
2568. **[CALM-PDE: Continuous and Adaptive Convolutions for Latent Space Modeling of Time-dependent PDEs ↗](https://doi.org/10.52202/085713-5360)**Jan Hagnberger, Daniel Musekamp, Mathias Niepert
2569. **[CALM: Culturally Self-Aware Language Models ↗](https://doi.org/10.52202/085713-3937)**Lingzhi Shen, Xiaohao Cai, Yunfei Long et al.
2570. **[CAM: A Constructivist View of Agentic Memory for LLM-Based Reading Comprehension ↗](https://doi.org/10.52202/085713-3781)**Rui Li, Zeyu Zhang, Xiaohe Bo et al.
2571. **[CAR-Flow: Condition-Aware Reparameterization Aligns Source and Target for Better Flow Matching ↗](https://doi.org/10.52202/085713-3173)**Chen Chen, Pengsheng Guo, Liangchen Song et al.
2572. **[CARE: Decoding-Time Safety Alignment via Rollback and Introspection Intervention ↗](https://doi.org/10.52202/085713-1706)**Xiaoqing Hu, Fei Huang, Chenhan Yuan et al.
2573. **[CAS-Spec: Cascade Adaptive Self-Speculative Decoding for On-the-Fly Lossless Inference Acceleration of LLMs ↗](https://doi.org/10.52202/085713-2182)**Zhiyuan Ning, Jiawei Shao, Ruge Xu et al.
2574. **[CAT: Circular-Convolutional Attention for Sub-Quadratic Transformers ↗](https://doi.org/10.52202/085713-4958)**Yoshihiro Yamada
2575. **[CATransformers: Carbon Aware Transformers Through Joint Model-Hardware Optimization ↗](https://doi.org/10.52202/085713-0841)**Zhong Irene Wang, Mostafa Elhoushi, H. Ekin Sumbul et al.
2576. **[CCL: Causal-aware In-context Learning for Out-of-Distribution Generalization ↗](https://doi.org/10.52202/085713-2805)**Hoyoon Byun, Gyeongdeok Seo, Joonseong Kang et al.
2577. **[CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation ↗](https://doi.org/10.52202/085713-2371)**Bowen Song, Zecheng Zhang, Zhaoxu Luo et al.
2578. **[CDFlow: Building Invertible Layers with Circulant and Diagonal Matrices ↗](https://doi.org/10.52202/085713-0124)**XUCHEN FENG, Siyu Liao
2579. **[CG-SSL: Concept-Guided Self-Supervised Learning ↗](https://doi.org/10.52202/085713-4823)**Sara Atito, Josef Kittler, Imran Razzak et al.
2580. **[CGBench: Benchmarking Language Model Scientific Reasoning for Clinical Genetics Research ↗](https://doi.org/10.52202/085713-0585)**Owen Queen, Harrison G. Zhang, James Zou
2581. **[CGS-GAN: 3D Consistent Gaussian Splatting GANs for High Resolution Human Head Synthesis ↗](https://doi.org/10.52202/085713-2985)**Florian Barthel, Wieland Morgenstern, Paul Hinzer et al.
2582. **[CHASM: Unveiling Covert Advertisements on Chinese Social Media ↗](https://doi.org/10.52202/085713-3951)**Jingyi Zheng, Tianyi Hu, Yule Liu et al.
2583. **[CHiQPM: Calibrated Hierarchical Interpretable Image Classification ↗](https://doi.org/10.52202/085713-0483)**Thomas Norrenbrock, Timo Kaiser, Sovan Biswas et al.
2584. **[CLAWS:Creativity detection for LLM-generated solutions using Attention Window of Sections ↗](https://doi.org/10.52202/085713-4448)**K. J. Kim, Eunhye Jeong, Sehyeon Lee et al.
2585. **[CLEAR: Command Level Annotated Dataset for Ransomware Detection ↗](https://doi.org/10.52202/085713-2729)**Barak Bringoltz, Elisha Halperin, Ran Feraru et al.
2586. **[CLEVER: A Curated Benchmark for Formally Verified Code Generation ↗](https://doi.org/10.52202/085713-3857)**Amitayush Thakur, Jasper Lee, George Tsoukalas et al.
2587. **[CLiFT: Compressive Light-Field Tokens for Compute Efficient and Adaptive Neural Rendering ↗](https://doi.org/10.52202/085713-0297)**Zhengqing Wang, Yuefan Wu, Jiacheng Chen et al.
2588. **[COALA: Numerically Stable and Efficient Framework for Context-Aware Low-Rank Approximation ↗](https://doi.org/10.52202/085713-2388)**Uliana Parkina, Maxim Rakhuba
2589. **[COCONut-PanCap: Joint Panoptic Segmentation and Grounded Captions for Fine-Grained Understanding and Generation ↗](https://doi.org/10.52202/085713-1912)**Xueqing Deng, Linjie Yang, Qihang Yu et al.
2590. **[COGNAC: Cooperative Graph-based Networked Agent Challenges for Multi-Agent Reinforcement Learning ↗](https://doi.org/10.52202/085713-0200)**Jules Sintes, Ana Bušić
2591. **[COLA: Towards Efficient Multi-Objective Reinforcement Learning with Conflict Objective Regularization in Latent Space ↗](https://doi.org/10.52202/085713-2704)**Pengyi Li, Hongyao Tang, Yifu Yuan et al.
2592. **[COOPERA: Continual Open-Ended Human-Robot Assistance ↗](https://doi.org/10.52202/085713-1152)**Chenyang Ma, Kai Lu, Ruta Desai et al.
2593. **[CORAL: Disentangling Latent Representations in Long-Tailed Diffusion ↗](https://doi.org/10.52202/085713-3754)**Esther Rodriguez, Monica Welfert, Samuel McDowell et al.
2594. **[CORE: Collaborative Optimization with Reinforcement Learning and Evolutionary Algorithm for Floorplanning ↗](https://doi.org/10.52202/085713-4662)**Pengyi Li, Shixiong Kai, Jianye Hao et al.
2595. **[CPO: Condition Preference Optimization for Controllable Image Generation ↗](https://doi.org/10.52202/085713-3249)**Zonglin Lyu, Hongran Li, Xinxin Liu et al.
2596. **[CPRet: A Dataset, Benchmark, and Model for Retrieval in Competitive Programming ↗](https://doi.org/10.52202/085713-5564)**Han Deng, Yuan Meng, Shixiang Tang et al.
2597. **[CQ-DINO: Mitigating Gradient Dilution via Category Queries for Vast Vocabulary Object Detection ↗](https://doi.org/10.52202/085713-0772)**Zhichao Sun, Huazhang Hu, Yidong Ma et al.
2598. **[CRRL: Learning Channel-invariant Neural Representations for High-performance Cross-day Decoding ↗](https://doi.org/10.52202/085713-2889)**Xianhan Tan, Binli Luo, Yu Qi et al.
2599. **[CTRL-ALT-DECEIT Sabotage Evaluations for Automated AI R&D ↗](https://doi.org/10.52202/085713-5775)**Francis Rhys Ward, Teun van der Weij, Hanna Gábor et al.
2600. **[CTSketch: Compositional Tensor Sketching for Scalable Neurosymbolic Learning ↗](https://doi.org/10.52202/085713-2539)**Seewon Choi, Alaia Solko-Breslin, Rajeev Alur et al.

[← prev](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/25/) [1](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/) … [20](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/20/) … [25](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/25/) **26** [27](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/27/) … [30](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/30/) … [59](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/59/) [next →](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/papers/page/27/)

- [← back to](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/) — NeurIPS 2025
