| 1 | Self-Play Pretraining with Zero Data | Aditya Cowsik, Kfir Dolev, Michael Y. Li +4 | cs.AI | 2026-09-24 |
| 2 | MILO: Efficient Many-shot In-Context Learning with Block-wise Low-rank Compression | Youpeng Zhao, Tian Tan, Liqian Peng +2 | cs.CL | 2026-09-24 |
| 3 | SwitchPFN: Shared Switching Dynamics for Frozen In-Context Time Series Classification | Zhenyi Zhu, Jacqueline Pang, Peilin Shen +7 | cs.LG | 2026-09-24 |
| #4 | From Policy Documents to Structured Survey Responses: Evaluating Large Language Models for Policy Monitoring | Carolyn Cole, Matthias Deschryvere, Toqeer Ehsan +1 | cs.CL | 2026-09-24 |
| #5 | Transformers as Cross-Task Learners: Shared Structure Drives Sample Efficiency in In-Context Learning | Zhongjie Shi, Rongjie Lai, Alexander Cloninger +1 | stat.ML | 2026-09-24 |
| #6 | Persuaded, Not Informed: Incentive-Misaligned Witnesses Defeat In-Context Grounding | Rahul Balakavi | cs.CL | 2026-09-23 |
| #7 | M$^2$PFN: End-to-End Disentangled Alignment for Generalizable Multimodal In-Context Learning in Alzheimer's Disease | Lujia Zhong, Shuo Huang, Jianwei Zhang +2 | cs.CV | 2026-09-23 |
| #8 | Gender Bias in Vision-Language In-Context Learning | Tong Xiang, Noa Garcia, Yuta Nakashima | cs.CV | 2026-09-23 |
| #9 | When Context Misleads: In-context Learning with Jurisdiction in Large Language Models | Pei-lin Li, Qingle Liu, Junyang Feng +4 | cs.CL | 2026-09-23 |
| #10 | ContraVis: Evidence-Grounded Visual Analytics for Contradiction Review in Legal Contracts | Luis Sante, Paula Lima, Mariana Rocha +1 | cs.HC | 2026-09-22 |
| #11 | ClusterFewshot: Improving Few-shot Optimization for LLMs workflow | Omri Bar Haim, Shahar Katz, Lior Wolf | cs.CL | 2026-09-22 |
| #12 | Optimizing the Score, Losing Sight of the Task: Reward Hacking Across Weights, Selection, and Prompts | Vansh Wahi | cs.AI | 2026-09-22 |
| #13 | Metric-Bench: Exploring In-context Spatial Metric Reasoning in VLMs for Indoor Scenes | Yuling Xi, Haokai Zhang, Muzhi Zhu +10 | cs.CV | 2026-09-22 |
| #14 | In-Context Guidance: Learning Inter-Task Synergies via Numerical Foundational Models for Few-Shot Multitask Optimization | Tingyang Wei, Haofeng Wu, Jiao Liu +3 | cs.LG | 2026-09-22 |
| #15 | Seeing Is Not Perceiving: When Synthetic Consumers Can and Cannot Pretest Visual Marketing | Yi-Lin Tsai, Yung-Hsiu, Lai | cs.AI | 2026-09-22 |
| #16 | LoRA-generating hypernetworks for efficient on-device LLM generative personalization | Sean Augenstein, Li Ding, Jihwan Lee +2 | cs.LG | 2026-09-21 |
| #17 | Assessing Readability with LLMs: The Role of Reasoning and Few-Shot Prompting | Raphaël Thieffry, Matej Martinc | cs.CL | 2026-09-21 |
| #18 | Prior-Amortized In-Context Bayesian Inference for Generalized Linear Mixed-Effects Models | Alex Kipnis, Marcel Binz, Eric Schulz | cs.LG | 2026-09-21 |
| #19 | URA-NER: A Unified Retrieval-Augmented Framework with Retrieval Alignment and Uncertainty Reduction for Low-Resource NER | Jingyu Wang, Shijie Wu, Fusheng Jin | cs.CL | 2026-09-21 |
| #20 | Few-Shot Demonstrations Elicit the Use of In-Context World Representations in LLMs | Kohsei Matsutani, Gouki Minegishi, Core Francisco Park +3 | cs.AI | 2026-09-21 |
| #21 | Memory vs. Context? Influential Factors of Factual Recall in Language Models | Guilhem Fouilhé, Nicholas Asher, Philippe Muller | cs.CL | 2026-09-21 |
| #22 | An Unexpected Robot Policy: Early Evaluations of GPT-6 Astra on RoboDojo and Beyond | Wenbo Zhang, Kaixuan Wang, Yutao Ouyang +9 | cs.CV | 2026-09-21 |
| #23 | Representation-guided in-context learning for medical image interpretation with multimodal large language models | Minda Zhao, Fangyu Hu, Yan Luo +8 | cs.AI | 2026-09-21 |
| #24 | CausalWM: Causal Chain-of-Thought Reasoning for Embodied World Model | Ziming Xu, Shuang Liang, Ruobing Han +10 | cs.CV | 2026-09-19 |
| #25 | QwenVLConnector: A Fast, Unified Medical VLM Chatbot for Fine-Grained Clinical Perception and Text Generation | Le Thien Phuc Nguyen, Thien Nguyen, Thanh-Huy Nguyen +3 | cs.CV | 2026-09-19 |
| #26 | Beyond Similarity: Coverage-Aware Prompt Selection for Time Series Forecasting with LLMs | Daeun Ji, Minkyoung Kim, Dongkuk Kim +3 | cs.LG | 2026-09-19 |
| #27 | LLM-Generated Feature Pools for Time Series Anomaly Detection | Youssef Attia El Hili, Malik Tiomoko, Corinne Ancourt | cs.AI | 2026-09-18 |
| #28 | Evaluating In-Context Learning and Retrieval Strategies for Devanagari Post-OCR Correction | Abhishek Bhandari, Gaurav Harit | cs.CL | 2026-09-18 |
| #29 | From Memory to Behavior: A Behavior-Aware Role-Playing Framework for Social Media Influencers | Ji-Lun Peng, Yi-Zhen Zhang, Chun-Nan Chou +1 | cs.CL | 2026-09-18 |
| #30 | WiC is Not WSD: A Study on LLMs and Lexical Ambiguity Resolution | Yi Zhou, Kiamehr Rezaee, Danushka Bollegala +2 | cs.CL | 2026-09-17 |
| #31 | In-Context Robot Learning with VLM Agents | Dongzhou Cheng, Taoran Yi, Ye Fang +12 | cs.CV | 2026-09-16 |
| #32 | Infinite-Parameter LLMs: Generating and Adapting Weights from Live Data | Jinli Hu, Ross M. Clarke, Yichuan Zhang +1 | cs.AI | 2026-09-16 |
| #33 | Reasoning through Evolution: Automatic Meta-path Discovery for LLM-based Fake News Detection | Ziyi Zhou, Xiaoming Zhang, Hui Pang +5 | cs.AI | 2026-09-16 |
| #34 | Recursive Reasoning or Statistical Extrapolation? In-Context Learning in Multi-Agent Interdependent Decision-Making | Yu Liu, Wenwen Li, Yifan Dou +1 | cs.AI | 2026-09-16 |
| #35 | Long-Context Demonstration Selection Using State Space Models | Ziniu Zhang, Zhenshuo Zhang, Ruoxuan Xiong +2 | cs.LG | 2026-09-15 |
| #36 | How Calibration Content Shapes Attention-Based Reranking | Petros Karypis, Hossein Rajaby Faghihi, Peter Chen +4 | cs.CL | 2026-09-15 |
| #37 | LimiX-2: A Contextual Mechanism Network Towards General Structured-Data Intelligence | Xingxuan Zhang, Gang Ren, Hao Yuan +57 | cs.AI | 2026-09-15 |
| #38 | Large Language Models Develop Belief State Geometry In-Context | Daniel Balcells, Andrew Jun Lee, Chirag Rastogi +3 | cs.LG | 2026-09-15 |
| #39 | Where Should a Document Live: Context, Representations, or Parameters? | Nathanaël Carraz Rakotonirina, Momchil Hardalov, Gonzalo Iglesias +1 | cs.CL | 2026-09-15 |
| #40 | JewelTry: Mask-Free Scale Aware Jewelry Virtual Try-On | Xinlei Niu, Peixia Li, Jun Wang +5 | cs.CV | 2026-09-15 |
| #41 | On the Importance of Gating: Memorization vs. In-Context Learning in State Space Models | William L. Tong, Aryo Lotfi, Emmanuel Abbe +6 | cs.LG | 2026-09-15 |
| #42 | Attention Mean Fields Predict Average Representation Dynamics and Reveal Context-Specific Computation | Micah Adler, John W. Byers, Mark Crovella | cs.LG | 2026-09-14 |
| #43 | V-ICAL Bench: Evaluating Video In-Context Learning for Multimodal Agents in Interactive Environments | Ziqian Fan, Shibo Xu, Junjie Li +8 | cs.CV | 2026-09-14 |
| #44 | Distilling Foundation Models for Agentic What-If Reasoning:Cost, Latency, and Governance in a Hybrid LLM+SLM Architecture | Sourish Dey, Aditya Kumar | cs.LG | 2026-09-14 |
| #45 | TwinICL: Diagnosing Multimodal In-Context Learning through Paired Counterfactuals | Zihan Xue, Po-Yi Lu, Serhii Honcharenko +5 | cs.CV | 2026-09-14 |
| #46 | One Example Is Enough to Pass Fairness Benchmarks: Rethinking Fairness Evaluation for Aligned LLMs | Naihao Deng, Samee Arif, Shuaichen Chang +2 | cs.CL | 2026-09-14 |
| #47 | Convergent Emergence of In-Context Learning Across Modalities | Nathan Breslow, Seungwook Han, Daniel Hyunsoo Lee +3 | cs.AI | 2026-09-12 |
| #48 | The Eloquence submission for Task 2 of the Interspeech 2026 MLC-SLM challenge | Jordi Luque, Lorenzo Concina, Marco Matassoni +2 | cs.CL | 2026-09-10 |
| #49 | Making Alternative Data Work: Context-Augmented LLMs for Financial Forecasting | Jihoon Kwon, Lawrence Liu, Daekyung Park +15 | cs.AI | 2026-09-10 |
| #50 | Reification as a Transferable Vocabulary: Zero-Shot Link Prediction with Vanilla GNNs | Camille Pradel | cs.LG | 2026-09-10 |