> ## Documentation Index
> Fetch the complete documentation index at: https://aegean.ai/llms.txt
> Use this file to discover all available pages before exploring further.
# Best Papers
> Best paper and outstanding paper awards from major AI conferences (2021-2026), plus a running list of notable new LLM research.
Award-winning papers from the top AI conferences, covering machine learning, computer vision, natural language processing, and artificial intelligence. Most recent year first.
## Rewarded Papers
This is a curated selection of the most prominent awards. For a community-maintained aggregator across more conferences, see [FeijiangHan/Top-Conference-Best-Papers](https://github.com/FeijiangHan/Top-Conference-Best-Papers).
### 2026
*Main Technical Track*
* **Model Change for Description Logic Concepts**, Ana Ozaki, Jandson S. Ribeiro, *Outstanding Paper*
* **Causal Structure Learning for Dynamical Systems with Theoretical Score Analysis**, Nicholas Tagliapietra, Katharina Ensinger, Christoph Zimmer, Osman Mian, *Outstanding Paper*
* **ReconVLA: Reconstructive Vision-Language-Action Model as Effective Robot Perceiver**, Wenxuan Song, Ziyang Zhou, Han Zhao, Jiayi Chen, Pengxiang Ding, et al., *Outstanding Paper*
* **LLM2CLIP: Powerful Language Model Unlocks Richer Cross-Modality Representation**, Weiquan Huang, Aoqi Wu, Yifan Yang, Xufang Luo, Yuqing Yang, et al., *Outstanding Paper*
* **High-pass Matters: Theoretical Insights and Sheaflet-Based Design for Hypergraph Neural Networks**, Ming Li, Yujie Fang, Dongrui Shen, Han Feng, Xiaosheng Zhuang, et al., *Outstanding Paper*
*AI for Social Impact Track*
* **PlantTraitNet: An Uncertainty-Aware Multimodal Framework for Global-Scale Plant Trait Inference from Citizen Science Data**, Ayushi Sharma, Johanna Trost, Daniel Lusk, Johannes Dollinger, et al., *Outstanding Paper (AISI)*
* **Generalizable Slum Detection from Satellite Imagery with Mixture-of-Experts**, Sumin Lee, Sungwon Park, Jeasurk Yang, Jihee Kim, Meeyoung Cha, *Outstanding Paper (AISI)*
### 2025
* **Every Bit Helps: Achieving the Optimal Distortion with a Few Queries**, Soroush Ebadian, Nisarg Shah, *Outstanding Paper*
* **Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection**, Wen-Chao Hu, Wang-Zhou Dai, et al., *Outstanding Paper*
* **Revelations: A Decidable Class of POMDPs with Omega-Regular Objectives**, Marius Belly, Nathanael Fijalkow, et al., *Outstanding Paper*
* **DivShift: Exploring Domain-Specific Distribution Shifts in Large-Scale Biodiversity Datasets**, Elena Sierra, Lauren Gillespie, Moises Exposito Alonso, *Outstanding Paper*
* **BindGPT: A Scalable Framework for 3D Molecular Design via Language Modeling and RL**, Artem Zholus, Maksim Kuznetsov, et al., *Outstanding Paper*
### 2024
* **Reliable Conflictive Multi-view Learning**, Cai Xu, Jiajun Si, et al., *Outstanding Paper*
* **Proportional Aggregation of Preferences for Sequential Decision Making**, Nikhil Chandak, Shashwat Goel, Dominik Peters, *Outstanding Paper*
### 2023
* **Misspecification in Inverse Reinforcement Learning**, Joar Skalse, Alessandro Abate, *Outstanding Paper*
* **Decorate the Newcomers: Visual Domain Prompt for Continual Test Time Adaptation**, Yulu Gan, Yan Bai, et al., *Outstanding Student Paper*
### 2022
* **Certified Symmetry and Dominance Breaking for Combinatorial Optimisation**, Bart Bogaerts, Stephan Gocht, et al., *Distinguished Paper*
* **Sampling-Based Robust Control of Autonomous Systems with Non-Gaussian Noise**, Thom S. Badings, Alessandro Abate, et al., *Distinguished Paper*
### 2021
* [**Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting**](https://aaai.org/conference/aaai/aaai-21/aaai-outstanding-and-distinguished-papers/), Haoyi Zhou, Shanghang Zhang, et al., *Outstanding Paper*
* **Exploration-Exploitation in Multi-Agent Learning: Catastrophe Theory Meets Game Theory**, Stefanos Leonardos, Georgios Piliouras, *Outstanding Paper*
### 2025
* **Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention**, Jingyang Yuan, Huazuo Gao, et al. (DeepSeek/PKU), *Best Paper*
* **Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs**, Angelina Wang, Michelle Phan, et al., *Best Paper*
* **Language Models Resist Alignment: Evidence From Data Compression**, Jiaming Ji, Kaile Wang, et al., *Best Paper*
* **AfriMed-QA: A Pan-African, Multi-Specialty, Medical QA Benchmark**, Charles Nimo, Tobi Olatunji, et al., *Best Paper*
### 2024
* **Mission: Impossible Language Models**, Julie Kallini, Isabel Papadimitriou, et al., *Best Paper*
* **Semisupervised Neural Proto-Language Reconstruction**, Liang Lu, Peirong Xie, David R. Mortensen, *Best Paper*
* **Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model**, Ahmet Ustun, Viraat Aryabumi, et al., *Best Paper*
* **Deciphering Oracle Bone Language with Diffusion Models**, Haisu Guan, Huanxin Yang, et al., *Best Paper*
### 2023
* **Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest**, Jack Hessel, Ana Marasovic, et al., *Best Paper*
### 2022
* **Learned Incremental Representations for Parsing**, Nikita Kitaev, Thomas Lu, Dan Klein, *Best Paper*
### 2021
* [**Vocabulary Learning via Optimal Transport for Neural Machine Translation**](https://aclanthology.org/2021.acl-long.571/), Jingjing Xu, Hao Zhou, et al., *Best Paper*
### 2026
* [**Efficiently Reconstructing Dynamic Scenes One D4RT at a Time**](https://arxiv.org/abs/2512.08924), Chuhan Zhang, Guillaume Le Moing, Skanda Koppula, Ignacio Rocco, et al., *Best Paper*
* [**Native and Compact Structured Latents for 3D Generation**](https://arxiv.org/abs/2512.14692), Jianfeng Xiang, Xiaoxue Chen, Sicheng Xu, Ruicheng Wang, et al., *Best Student Paper*
### 2025
* **VGGT: Visual Geometry Grounded Transformer**, Jianyuan Wang, Minghao Chen, et al., *Best Paper*
* [**Neural Inverse Rendering from Propagating Light**](https://arxiv.org/abs/2506.05347), Anagh Malik, Benjamin Attal, et al., *Best Student Paper*
* [**Navigation World Models**](https://arxiv.org/abs/2412.03572), Amir Bar, Gaoyue Zhou, et al., *Honorable Mention*
* **MegaSaM: Accurate, Fast and Robust Structure and Motion from Casual Dynamic Videos**, Zhengqi Li, Richard Tucker, et al., *Honorable Mention*
### 2024
* **Generative Image Dynamics**, Zhengqi Li, Richard Tucker, et al., *Best Paper*
* **Rich Human Feedback for Text-to-Image Generation**, Youwei Liang, Junfeng He, et al., *Best Paper*
* **Mip-Splatting: Alias-free 3D Gaussian Splatting**, Zehao Yu, Anpei Chen, et al., *Best Student Paper*
* **BioCLIP: A Vision Foundation Model for the Tree of Life**, Samuel Stevens, Jiaman Wu, et al., *Best Student Paper*
### 2023
* [**Planning-oriented Autonomous Driving (UniAD)**](https://arxiv.org/abs/2212.10156), Yihan Hu, Jiazhi Yang, et al., *Best Paper*
* [**Visual Programming: Compositional Visual Reasoning without Training**](https://arxiv.org/abs/2211.11559), Tanmay Gupta, Aniruddha Kembhavi, *Best Paper*
### 2022
* [**Learning to Solve Hard Minimal Problems**](https://arxiv.org/abs/2112.03424), Petr Hruby, Timothy Duff, et al., *Best Paper*
* **EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points**, Hansheng Chen, Pichao Wang, et al., *Best Student Paper*
* **Dual-Shutter Optical Vibration Sensing**, Mark Sheinin, Dorian Chan, et al., *Honorable Mention*
### 2021
* [**GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields**](https://arxiv.org/abs/2011.12100), Michael Niemeyer, Andreas Geiger, *Best Paper*
### 2024
* **Minimalist Vision with Freeform Pixels**, Jeremy Klotz, Shree Nayar, *Best Paper*
* **Rasterized Edge Gradients: Handling Discontinuities Differentially**, Stanislav Pidhorskyi, Tomas Simon, et al., *Honorable Mention*
* **Concept Arithmetics for Circumventing Concept Inhibition in Diffusion Models**, Vitali Petsiuk, Kate Saenko, *Honorable Mention*
### 2022
* **On the Versatile Uses of Partial Distance Correlation in Deep Learning**, Xingjian Zhen, Zihang Meng, et al., *Best Paper*
* **Pose-NDF: Modelling Human Pose Manifolds with Neural Distance Fields**, Garvita Tiwari, Dimitrije Antic, et al., *Honorable Mention*
### 2025
* **Infini-gram mini: Exact n-gram Search at the Internet Scale with FM-Index**, Hao Xu, Jiacheng Liu, et al., *Best Paper*
* **LingGym: How Far Are LLMs from Thinking Like Field Linguists?**, Freda Shi, Changbing Yang, et al., *Outstanding Paper*
### 2024
* **Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method**, Weichao Zhang, et al., *Best Paper*
* **An Image Speaks a Thousand Words, but Can Everyone Listen? On Image Transcreation for Cultural Relevance**, Simran Khanuja, et al., *Best Paper*
* **KidLM: Advancing Language Models for Children**, Mir Tafseer Nayeem, Davood Rafiei, *Best Resource Paper*
### 2023
* **Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs Through a Global Prompt Hacking Competition**, Sander V. Schulhoff, et al., *Best Paper*
### 2022
* [**Abstract Visual Reasoning with Tangram Shapes**](https://aclanthology.org/2022.emnlp-main.38/), Anya Ji, Noriyuki Kojima, et al., *Best Paper*
### 2021
* [**Visually Grounded Reasoning across Languages and Cultures**](https://aclanthology.org/2021.emnlp-main.818/), Fangyu Liu, Emanuele Bugliarello, et al., *Best Long Paper*
### 2025
* **BrickGPT: Generating Physically Stable and Buildable Brick Structures from Text**, Ava Pun, Kangle Deng, et al., *Best Paper (Marr Prize)*
### 2023
* [**Adding Conditional Control to Text-to-Image Diffusion Models (ControlNet)**](https://arxiv.org/abs/2302.05543), Lvmin Zhang, Anyi Rao, Maneesh Agrawala, *Best Paper (Marr Prize)*
* **Passive Ultra-Wideband Single-Photon Imaging**, Mian Wei, Sotiris Nousias, et al., *Best Paper (Marr Prize)*
* [**Segment Anything**](https://arxiv.org/abs/2304.02643), Alexander Kirillov, Eric Mintun, et al. (Meta), *Honorable Mention*
* **Tracking Everything Everywhere All At Once**, Qianqian Wang, Yen-Yu Chang, et al., *Honorable Mention*
### 2021
* [**Swin Transformer: Hierarchical Vision Transformer using Shifted Windows**](https://arxiv.org/abs/2103.14030), Ze Liu, Yutong Lin, et al., *Best Paper (Marr Prize)*
### 2026
* [**Transformers are Inherently Succinct**](https://blog.iclr.cc/2026/04/23/announcing-the-iclr-2026-outstanding-papers/), Pascal Bergsträßer, Ryan Cotterell, Anthony Widjaja Lin, *Outstanding Paper*
* [**LLMs Get Lost In Multi-Turn Conversation**](https://blog.iclr.cc/2026/04/23/announcing-the-iclr-2026-outstanding-papers/), Philippe Laban, Hiroaki Hayashi, Yingbo Zhou, Jennifer Neville, *Outstanding Paper*
* [**The Polar Express: Optimal Matrix Sign Methods and their Application to the Muon Algorithm**](https://blog.iclr.cc/2026/04/23/announcing-the-iclr-2026-outstanding-papers/), Noah Amsel, David Persson, Christopher Musco, Robert M. Gower, *Honorable Mention*
### 2025
* **Safety Alignment Should be Made More Than Just a Few Tokens Deep**, Xiangyu Qi, Ashwinee Panda, et al., *Outstanding Paper*
* **Learning Dynamics of LLM Finetuning**, Yi Ren, Danica J. Sutherland, *Outstanding Paper*
* [**SAM 2: Segment Anything in Images and Videos**](https://arxiv.org/abs/2408.00714), Nikhila Ravi, Valentin Gabeur, et al. (Meta), *Outstanding Paper*
* **Data Shapley in One Training Run**, Jiachen T. Wang, Prateek Mittal, et al., *Honorable Mention*
### 2024
* **Generalization in Diffusion Models Arises from Geometry-Adaptive Harmonic Representations**, Zahra Kadkhodaie, Florentin Guth, et al., *Outstanding Paper*
* **Learning Interactive Real-World Simulators**, Sherry Yang, Yilun Du, et al., *Outstanding Paper*
* **Vision Transformers Need Registers**, Timothee Darcet, Maxime Oquab, et al., *Outstanding Paper*
* **Protein Discovery with Discrete Walk-Jump Sampling**, Nathan C. Frey, Dan Berenberg, et al., *Outstanding Paper*
### 2023
* [**DreamFusion: Text-to-3D using 2D Diffusion**](https://arxiv.org/abs/2209.14988), Ben Poole, Ajay Jain, et al., *Outstanding Paper*
* **Emergence of Maps in the Memories of Blind Navigation Agents**, Erik Wijmans, Manolis Savva, et al., *Outstanding Paper*
* **Rethinking the Expressive Power of GNNs via Graph Biconnectivity**, Bohang Zhang, Shengjie Luo, et al., *Outstanding Paper*
### 2022
* [**Efficiently Modeling Long Sequences with Structured State Spaces (S4)**](https://arxiv.org/abs/2111.00396), Albert Gu, Karan Goel, Christopher Re, *Outstanding Paper*
* **Analytic-DPM: An Analytic Estimate of the Optimal Reverse Variance in Diffusion Models**, Fan Bao, Chongxuan Li, et al., *Outstanding Paper*
* **Neural Collapse Under MSE Loss**, X.Y. Han, Vardan Papyan, David L. Donoho, *Outstanding Paper*
### 2021
* [**Score-Based Generative Modeling through Stochastic Differential Equations**](https://arxiv.org/abs/2011.13456), Yang Song, Jascha Sohl-Dickstein, et al., *Outstanding Paper*
* **Learning Mesh-Based Simulation with Graph Networks**, Tobias Pfaff, Meire Fortunato, et al., *Outstanding Paper*
* **EigenGame: PCA as a Nash Equilibrium**, Ian Gemp, Brian McWilliams, et al., *Outstanding Paper*
### 2025
* [**CollabLLM: From Passive Responders to Active Collaborators**](https://arxiv.org/abs/2502.06951), Shirley Wu, Michel Galley, et al., *Outstanding Paper*
* **Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions**, Jaeyeon Kim, Kulin Shah, et al., *Outstanding Paper*
* **Roll the Dice & Look Before You Leap: Going Beyond the Creative Limits of Next-Token Prediction**, Vaishnavh Nagarajan, Chen Wu, et al., *Outstanding Paper*
* **Score Matching with Missing Data**, Josh Givens, Song Liu, Henry Reeve, *Outstanding Paper*
* **Conformal Prediction as Bayesian Quadrature**, Jake Snell, Thomas Griffiths, *Outstanding Paper*
### 2024
* [**Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution**](https://arxiv.org/abs/2310.16834), Aaron Lou, Chenlin Meng, Stefano Ermon, *Best Paper*
* **Considerations for Differentially Private Learning with Large-Scale Public Pretraining**, Florian Tramer, Gautam Kamath, Nicholas Carlini, *Best Paper*
### 2023
* [**Learning-Rate-Free Learning by D-Adaptation**](https://arxiv.org/abs/2301.07733), Aaron Defazio, Konstantin Mishchenko, *Outstanding Paper*
* [**A Watermark for Large Language Models**](https://arxiv.org/abs/2301.10226), John Kirchenbauer, Jonas Geiping, et al., *Outstanding Paper*
* **Adapting to Game Trees in Zero-Sum Imperfect Information Games**, Come Fiegel, Pierre Menard, et al., *Outstanding Paper*
### 2022
* **Understanding Dataset Difficulty with V-Usable Information**, Kawin Ethayarajh, Yejin Choi, Swabha Swayamdipta, *Outstanding Paper*
* **Monarch: Expressive Structured Matrices for Efficient and Accurate Training**, Tri Dao, et al., *Outstanding Paper*
* **Learning Inverse Folding from Millions of Predicted Structures**, Chloe Hsu, Robert Verkuil, et al., *Outstanding Paper*
### 2021
* **Understanding Self-Supervised Learning Dynamics without Contrastive Pairs**, Yuandong Tian, Xinlei Chen, Surya Ganguli, *Outstanding Paper*
* **Oops I Took A Gradient: Scalable Sampling for Discrete Distributions**, Will Grathwohl, Kevin Swersky, et al., *Outstanding Paper*
### 2024
* **Online Combinatorial Optimization with Group Fairness Constraints**, Negin Golrezaei, Rad Niazadeh, et al., *Distinguished Paper*
* **Online Learning of Capacity-Based Preference Models**, Margot Herin, Patrice Perny, Nataliya Sokolovska, *Distinguished Paper*
### 2023
* **Levin Tree Search with Context Models**, Laurent Orseau, Marcus Hutter, Levi H. S. Lelis, *Distinguished Paper*
* **SAT-Based PAC Learning of Description Logic Concepts**, Balder ten Cate, Maurice Funk, et al., *Distinguished Paper*
### 2022
* **Plurality Veto: A Simple Voting Rule Achieving Optimal Metric Distortion**, Fatih Kizilkaya, David Kempe, *Distinguished Paper*
### 2021
* **Learning Generalized Unsolvability Heuristics for Classical Planning**, Simon Stahlberg, Guillem Frances, Jendrik Seipp, *Distinguished Paper*
### 2025
* **Artificial Hivemind: The Open-Ended Homogeneity of Language Models (and Beyond)**, Liwei Jiang, Yuanjun Chai, et al., *Best Paper*
* **Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free**, Zihan Qiu, Zekun Wang, et al. (Alibaba Qwen), *Best Paper*
* **1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities**, Michal Bortkiewicz, et al., *Best Paper*
* **Why Diffusion Models Don't Memorize: The Role of Implicit Dynamical Regularization**, Tony Bonnaire, Raphael Urfin, et al., *Best Paper*
* **Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?**, Yang Yue, Zhiqi Chen, et al., *Best Paper Runner-Up*
* [**Superposition Yields Robust Neural Scaling**](https://arxiv.org/abs/2505.10465), Yizhou Liu, Ziming Liu, Jeff Gore, *Best Paper Runner-Up*
### 2024
* [**Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction**](https://arxiv.org/abs/2404.02905), Keyu Tian, Yi Jiang, et al., *Best Paper*
* **Stochastic Taylor Derivative Estimator: Efficient Amortization for Arbitrary Differential Operators**, Zekun Shi, Zheyuan Hu, et al., *Best Paper*
* [**Rho-1: Not All Tokens Are What You Need**](https://arxiv.org/abs/2404.07965), Zhenghao Lin, Zhibin Gou, et al., *Best Paper Runner-Up*
* [**Guiding a Diffusion Model with a Bad Version of Itself**](https://arxiv.org/abs/2406.02507), Tero Karras, Miika Aittala, et al., *Best Paper Runner-Up*
* [**The PRISM Alignment Dataset**](https://arxiv.org/abs/2404.16019), Hannah Rose Kirk, et al., *Best Paper (Datasets & Benchmarks)*
### 2023
* [**Are Emergent Abilities of Large Language Models a Mirage?**](https://arxiv.org/abs/2304.15004), Rylan Schaeffer, Brando Miranda, Sanmi Koyejo, *Outstanding Paper*
* **Privacy Auditing with One (1) Training Run**, Thomas Steinke, Milad Nasr, Matthew Jagielski, *Outstanding Paper*
* [**Direct Preference Optimization: Your Language Model is Secretly a Reward Model**](https://arxiv.org/abs/2305.18290), Rafael Rafailov, et al., *Outstanding Paper Runner-Up*
* [**Scaling Data-Constrained Language Models**](https://arxiv.org/abs/2305.16264), Niklas Muennighoff, et al., *Outstanding Paper Runner-Up*
* [**DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models**](https://arxiv.org/abs/2306.11698), Boxin Wang, et al., *Outstanding Benchmark Paper*
### 2022
* [**Elucidating the Design Space of Diffusion-Based Generative Models**](https://arxiv.org/abs/2206.00364), Tero Karras, Miika Aittala, et al., *Outstanding Paper*
* [**Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding (Imagen)**](https://arxiv.org/abs/2205.11487), Chitwan Saharia, et al. (Google Brain), *Outstanding Paper*
* **Is Out-of-distribution Detection Learnable?**, Zhen Fang, Yixuan Li, et al., *Outstanding Paper*
* **Gradient Descent: The Ultimate Optimizer**, Kartik Chandra, Audrey Xie, et al., *Outstanding Paper*
### 2021
* [**A Universal Law of Robustness via Isoperimetry**](https://arxiv.org/abs/2105.12806), Sebastien Bubeck, Mark Sellke, *Outstanding Paper*
* [**Deep Reinforcement Learning at the Edge of the Statistical Precipice**](https://arxiv.org/abs/2108.13264), Rishabh Agarwal, Max Schwarzer, et al., *Outstanding Paper*
* [**MAUVE: Measuring the Gap Between Neural Text and Human Text**](https://arxiv.org/abs/2102.01454), Krishna Pillutla, Swabha Swayamdipta, et al., *Outstanding Paper*
***
Community-maintained list of best-paper award winners (2022-2026) across ICLR, NeurIPS, ICML, ACL, EMNLP, NAACL, AAAI, CVPR, and ECCV.
## Interesting new papers
Notable LLM research from outside the awards lists, worth reading even when it never went up for a prize. Sourced from Sebastian Raschka's [LLM Research Papers: 2026 (Part 1)](https://magazine.sebastianraschka.com/p/llm-research-papers-2026-part1).
* [**Deep Delta Learning**](https://arxiv.org/abs/2601.00417), January 1, 2026
* [**MiMo-V2-Flash Technical Report**](https://arxiv.org/abs/2601.02780), January 6, 2026
* [**Ministral 3**](https://arxiv.org/abs/2601.08584), January 13, 2026
* [**Scaling Embeddings Outperforms Scaling Experts in Language Models**](https://arxiv.org/abs/2601.21204), January 29, 2026
* [**LatentLens: Revealing Highly Interpretable Visual Tokens in LLMs**](https://arxiv.org/abs/2602.00462), January 30, 2026
* [**ERNIE 5.0 Technical Report**](https://arxiv.org/abs/2602.04705), February 4, 2026
* [**ViT-5: Vision Transformers for the Mid-2020s**](https://arxiv.org/abs/2602.08071), February 8, 2026
* [**Step 3.5 Flash: Open Frontier-Level Intelligence with 11B Active Parameters**](https://arxiv.org/abs/2602.10604), February 11, 2026
* [**Nanbeige4.1-3B: A Small General Model That Reasons, Aligns, and Acts**](https://arxiv.org/abs/2602.13367), February 12, 2026
* [**Symmetry in Language Statistics Shapes the Geometry of Model Representations**](https://arxiv.org/abs/2602.15029), February 16, 2026
* [**GLM-5: From Vibe Coding to Agentic Engineering**](https://arxiv.org/abs/2602.15763), February 17, 2026
* [**Arcee Trinity**](https://arxiv.org/abs/2602.17004), February 18, 2026
* [**The Spike, the Sparse and the Sink: Anatomy of Massive Activations and Attention Sinks**](https://arxiv.org/abs/2603.05498), March 4, 2026
* [**Tiny Aya: Bridging Scale and Multilingual Depth**](https://arxiv.org/abs/2603.11510), March 12, 2026
* [**Attention Residuals**](https://arxiv.org/abs/2603.15031), March 15, 2026
* [**Mamba-3: Improved Sequence Modeling Using State Space Principles**](https://arxiv.org/abs/2603.15569), March 16, 2026
* [**Attention to Mamba: A Recipe for Cross-Architecture Distillation**](https://arxiv.org/abs/2604.14191), March 31, 2026
* [**Nemotron 3**](https://arxiv.org/abs/2604.12374), April 13, 2026
* [**ZAYA1-8B Technical Report**](https://arxiv.org/abs/2605.05365), May 6, 2026
* [**Delta Attention Residuals**](https://arxiv.org/abs/2605.18855), May 13, 2026
* [**Gated DeltaNet-2: Decoupling Erase and Write in Linear Attention**](https://arxiv.org/abs/2605.22791), May 21, 2026
* [**The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence**](https://arxiv.org/abs/2605.26494), May 25, 2026
***
[Edit this page on GitHub](https://github.com/aegean-ai/eaia/edit/main/src/research/rewarded-papers/index.mdx) or [file an issue](https://github.com/aegean-ai/eaia/issues/new/choose).