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WebDS: An End-to-End Benchmark for Web-based Data Science
Ethan Hsu, Hong Meng Yam, Ines Bouissou, Aaron Murali John, Raj Thota, Josh Koe, Vivek Sarath Putta, G K Dharesan, Alexander Spangher, Shikhar Murty, Tenghao Huang, Christopher D Manning
- Published: 26 Jan 2026, Last Modified: 11 Apr 2026
- ICLR 2026 Poster
- Readers: Everyone
Enhancing Vision Transformers for Object Detection via Context-Aware Token Selection and Packing
Tianyi Zhang, Baoxin Li, Jae-sun Seo, Yu Cao
- Published: 26 Jan 2026, Last Modified: 11 Apr 2026
- ICLR 2026 Poster
- Readers: Everyone
Online Pseudo-average Shifting Attention(PASA) for Robust Low-precision LLM Inference: Algorithms, Numerical Analysis and Performance
Long Cheng, Qichen Liao, Fan Wu, Junlin Mu, Tengfei Han, Zhe Qiu, Lianqiang Li, Zhen Zhang, Fangzheng Miao, Tianyi Liu, Keming Gao, LiangWangdym, Yinqiande
- 20 Sept 2025 (modified: 11 Feb 2026)
- Submitted to ICLR 2026
- Readers: Everyone
WarriorMath: Empowering Mathematical Reasoning for Large Language Models via Expert Battles
Yue Chen, Minghua He, Fangkai Yang, Pu Zhao, Lu Wang, Yu Kang, Yifei Dong, Yuefeng Zhan, Hao Sun, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
- 20 Sept 2025 (modified: 11 Feb 2026)
- Submitted to ICLR 2026
- Readers: Everyone
Can Large Language Models Truly Stay Helpful Harmless and Honest?
Gautam Siddharth Kashyap, Mark Dras, Usman Naseem
- 20 Sept 2025 (modified: 12 Feb 2026)
- ICLR 2026 Conference Desk Rejected Submission
- Readers: Everyone
Multimodal Datasets with Controllable Mutual Information
Raheem K Hashmani, Garrett W. Merz, Helen Qu, Mariel Pettee, Kyle Cranmer
- 20 Sept 2025 (modified: 11 Feb 2026)
- Submitted to ICLR 2026
- Readers: Everyone
Inverse GFlowNets for Generative Imitation Learning
Hohyun Kim, Hyesung Kim, Yein Hwang, Min-hwan Oh, Seunggeun Lee
- 20 Sept 2025 (modified: 02 Dec 2025)
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
FETAL-GAUGE: A BENCHMARK FOR ASSESSING VISION-LANGUAGE MODELS IN FETAL ULTRASOUND
Hussain Alasmawi, Numan Saeed, Mohammad Yaqub
- Published: 26 Jan 2026, Last Modified: 11 Apr 2026
- ICLR 2026 Poster
- Readers: Everyone
Latent instruction representation alignment: defending against jailbreaks, backdoors and undesired knowledge in LLMs
Eric Easley, Sebastian Farquhar
- 20 Sept 2025 (modified: 11 Feb 2026)
- Submitted to ICLR 2026
- Readers: Everyone
Scalable Cooperative Multi-Agent Reinforcement Learning with Adaptive Communication Range
Huizhong Song, Wei Wei, Lin Li, Lijun Zhang, Fengjiao Li
- 20 Sept 2025 (modified: 11 Feb 2026)
- Submitted to ICLR 2026
- Readers: Everyone
One Anomaly to Catch Them All: Graph-Based One-Shot Anomaly Detection via GradConf
Pengcheng Zhou, Halimulati Julaiti, Yinglun Feng, Zhongliang Yang, Linna Zhou
- 20 Sept 2025 (modified: 30 Nov 2025)
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
RAFT: Reasoning-Aware Fine-Tuning
Jinhao Li, Guangrui Li, Riheng Zhu, Zhenbang Sun, Feng Liu
- 20 Sept 2025 (modified: 03 Dec 2025)
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Diffusion Language Models are Provably Optimal Parallel Samplers
Haozhe Jiang, Nika Haghtalab, Lijie Chen
- Published: 26 Jan 2026, Last Modified: 11 Apr 2026
- ICLR 2026 Poster
- Readers: Everyone
STAIRS-Former: Spatio-Temporal Attention with Interleaved Recursive Structure TransFormer for Offline Mulit-task Multi-agent Reinforcement Learning
Jiwon Jeon, Myungsik Cho, Youngchul Sung
- Published: 26 Jan 2026, Last Modified: 11 Apr 2026
- ICLR 2026 Poster
- Readers: Everyone
TaskMixPGM: Task Mixtures via Probabilistic Graphical Modelling for Language Model Finetuning
Prateek Chanda, Saral Sureka, Parth Pratim Chatterjee, Krishnateja Killamsetty, Nikhil Shivakumar Nayak, Ganesh Ramakrishnan
- 20 Sept 2025 (modified: 12 Feb 2026)
- ICLR 2026 Conference Desk Rejected Submission
- Readers: Everyone
Magentic Marketplace: An Open-Source Environment for Studying Agentic Markets
Gagan Bansal, Wenyue Hua, Zezhou Huang, Adam Fourney, Amanda Swearngin, Chinmay Singh, Brendan Lucier, Jake M. Hofman, Markus Mobius, Tyler Payne, Will Epperson, Akshay Nambi, Archana Yadav, Kevin Gao, Maya Murad, Matthew Vogel, Aleksandrs Slivkins, Daniel G. Goldstein, David Rothschild, Hussein Mozannar et al. (4 additional authors not shown)
Rectifying LLM Thought from Lens of Optimization
Junnan Liu, Hongwei Liu, Songyang Zhang, Kai Chen
- Published: 26 Jan 2026, Last Modified: 11 Apr 2026
- ICLR 2026 Poster
- Readers: Everyone
Examining relational reasoning and inductive bias in transformers trained on a transitive inference task
Jesse P Geerts
- 20 Sept 2025 (modified: 11 Feb 2026)
- Submitted to ICLR 2026
- Readers: Everyone
Leveraging Dark Knowledge for Intrinsic Multimodal Out-of-Distribution Detection
Nimeshika Udayangani, Sarah Monazam Erfani, Christopher Leckie
- 20 Sept 2025 (modified: 11 Feb 2026)
- Submitted to ICLR 2026
- Readers: Everyone
Reinforcement Networks: novel framework for collaborative Multi-Agent Reinforcement Learning tasks.
Maksim Kryzhanovskiy, Svetlana Glazyrina, Roman Ischenko, Konstantin Chuvashev, Gleb Skiba, Konstantin Vorontsov
- 20 Sept 2025 (modified: 12 Feb 2026)
- ICLR 2026 Conference Desk Rejected Submission
- Readers: Everyone
TNT: Improving Chunkwise Training for Test-Time Memorization
Zeman Li, Ali Behrouz, Yuan Deng, Peilin Zhong, Praneeth Kacham, Mahdi Karami, Meisam Razaviyayn, Vahab Mirrokni
- Published: 26 Jan 2026, Last Modified: 11 Apr 2026
- ICLR 2026 Poster
- Readers: Everyone
LoLoRA: Locally Fine-Tuned Low Rank Adapters
Dmitry Metelev, Evgenii Aleksandrovich Dzhivelikian, Petr Kuderov, Aleksander Karpov, Nikita Iltiakov, Daniil Drozdov, Aleksandr Panov, Igor Salnikov, Alexander Vladimirovich Demidovskij
- 20 Sept 2025 (modified: 11 Feb 2026)
- Submitted to ICLR 2026
- Readers: Everyone
Beyond Worst-Case: Efficient Robust RL via In-Context Generalization
Juncheng Dong, Hao-Lun Hsu, Miroslav Pajic, Vahid Tarokh
- 20 Sept 2025 (modified: 11 Feb 2026)
- Submitted to ICLR 2026
- Readers: Everyone
Two step diffusion: fast sampling and reliable prediction of 3D Keller-Segel chemotaxis systems in fluid flows
Zhenda Shen, Zhongjian Wang, Jack Xin, Zhiwen Zhang
- 20 Sept 2025 (modified: 11 Feb 2026)
- Submitted to ICLR 2026
- Readers: Everyone
When to Retrain after Drift: A Data-Only Test of Post-Drift Data Size Sufficiency
Ren Fujiwara, Yasuko Matsubara, Yasushi Sakurai
- Published: 26 Jan 2026, Last Modified: 11 Apr 2026
- ICLR 2026 Poster
- Readers: Everyone

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20 Sept 2025 (modified: 11 Feb 2026)
Submitted to ICLR 2026
Readers: Everyone