| 1 | Bridging Semantics and Structure: A Theoretically Grounded Framework for Link Prediction on TAGs | Chen Shao, Ruirui Wang, Tobias Kafer +1 | cs.AI | 2026-10-29 |
| 2 | Category-Anchored Large Language Models for Next POI Recommendation | Lexi Bai, Xiaopeng Zeng, Xun Zhou +2 | cs.AI | 2026-10-29 |
| 3 | ATLAS-Bench: An Agentic Tool-Use Benchmark for Local Area Search | Keyun Zhang, Dapeng Yin, Fanfu Wang +5 | cs.AI | 2026-10-29 |
| #4 | Beyond LLM Wrappers: Context Engineering and the Three-Engine Architecture for Reliable Financial AI | Pradeep Kumar GS, Ravi Tanniru | cs.AI | 2026-10-29 |
| #5 | PRISM: Personalized Item Representations in User History | Renzhi Wu, Zikun Cui, Junjie Yang +6 | cs.IR | 2026-10-29 |
| #6 | HEARSAYBENCH: Can AI Navigate from Abstract Human Rights to Lived Lives? | Ava Iranmanesh, Sobhan Lotfi, Ali Iranmanesh +1 | cs.CL | 2026-10-28 |
| #7 | Latent Decision Flow Rewards for Clinical Guideline Reasoning | Gaurav Bhatt, Marinka Zitnik | cs.LG | 2026-10-28 |
| #8 | Towards Reliable, Scalable, and Value-Aligned Generative Recommendation for Large-Scale Advertising | Yatong Xiao, Yibo Sheng, Lixiang Wang +7 | cs.IR | 2026-10-28 |
| #9 | Floor It, Then Fill It: Simulating Creator Ecosystems for Fair Video-Content Recommendation Systems at Billion User Scale | Sohini Roychowdhury, Long Sha, Sunand Agarwal +5 | cs.LG | 2026-10-28 |
| #10 | What Does LOL Measure? Hidden Label Shifts in Low-Light Enhancement Benchmarks | Adityan Thirumani Srinivasan | cs.CV | 2026-10-28 |
| #11 | Making Sense of Audience Change: Causal Attribution and Boundary Management on Xiaohongshu | Zhiyi Zhou, Kyrie Zhou | cs.HC | 2026-10-27 |
| #12 | Merge and Branch: Efficient Tree-Structured Supervised Fine-Tuning of LLMs for Recommendation | Yunqin Zhu, Yao Xie | cs.IR | 2026-10-27 |
| #13 | Statistical Detection of Positional Bias in LLM-Based Recommender Systems: Methodologies and Empirical Evidence | Carlos Peláez-González, Francisco Herrera, Andrés Herrera-Poyatos | cs.IR | 2026-10-27 |
| #14 | What Constitutes Food Similarity? Visual Representations and Retrieval in Indian Cuisine | Saransh Kumar Gupta, Akshadha Sharma, Lipika Dey +2 | cs.AI | 2026-10-27 |
| #15 | REGER: Modeling inter-item Relations with Semantic IDs for Generative Recommendation | Yuxi Huang, Silin Zhou, Chenhao Wang +5 | cs.IR | 2026-10-27 |
| #16 | RPSD: Retrieval-Privileged On-Policy Self-Distillation with Optimal Transport | Dongyue Li, Zebang Cheng, Zhongyi Deng +3 | cs.AI | 2026-10-27 |
| #17 | Modeling Preference Dependencies with Directed Acyclic Graphs for Narrative-Driven Recommendation | Mingzhe Lu, Jian Qin, Ruize Qin +3 | cs.IR | 2026-10-27 |
| #18 | Compote: Collapse-Resistant Multiple Hypothesis Learning For Sequential Recommendation | Louis Castres Saint Martin, Clement Calauzenes, Alain Rakotomamonjy +1 | cs.LG | 2026-10-27 |
| #19 | The State and Fate of Multilingual, Contextual Evaluation in the NLP World | Manan Uppadhyay, Himanshu Beniwal, Prashant Kodali +1 | cs.CL | 2026-10-27 |
| #20 | PailitaoMMSearch2.0 Technical Report: Scaling Generative Retrieval to Unified End-to-End Multimodal Search | Xiaohan Ye, Zihan Gong, Jingqian Zhao +9 | cs.IR | 2026-10-27 |
| #21 | Algorithmic Monoculture in Machine Learning-based Site-Specific Fertilizer Recommendation | Abdelghani Belgaid | cs.LG | 2026-10-27 |
| #22 | JevRec: Linguistic Encoding with Jev-like Decision Modeling for LLM-based Generative Recommendation | Qiyong Zhong, Jiajie Su, Ming Yang +1 | cs.CL | 2026-10-27 |
| #23 | The Vocabulary Is Already Here: Adapting Pretrained Interpretable Features for Generative Recommendation | Ziluowen Luo, Ruochen Liu, Jun Yin +6 | cs.IR | 2026-10-27 |
| #24 | MAREval: A Multi-Agent Framework for Evaluating Natural Language Recommendation Explanations | Reza Yousefi Maragheh, Jayesh Uddhav Kudase, Aysenur Inan +7 | cs.AI | 2026-10-26 |
| #25 | IOSage: Detecting HPC I/O Bottleneck Patterns to Guide LLM Recommendations | Mahdi Banisharif, Tabassum Mahmud, Ahmad Tarraf +2 | cs.DC | 2026-10-26 |
| #26 | Ontology-guided multi-agent reasoning for explainable differential diagnosis | Roxana Ramona Szomiu, George Ursu, Adrian Groza | cs.AI | 2026-10-26 |
| #27 | BehaveRec: When Does Long-Term Behavioral History Help Sequential Recommendation? A Study with Session, History, and Community Signals | Aysenur Inan, Reza Yousefi Maragheh, Jayesh Uddhav Kudase +4 | cs.AI | 2026-10-26 |
| #28 | Counterfactual Profile Perturbations for Recommendation Explanations: A Reproducibility Study | Meysam Varasteh, Elizabeth McKinnie, Robin Burke | cs.IR | 2026-10-26 |
| #29 | Why and How to Do Science When AI Is Better at It: A Framework Grounded in Human Understanding and Direction | Hoda Heidari, Aydin Mohseni | cs.AI | 2026-10-26 |
| #30 | Evaluating DeepSeek V4.1 Flash-1017 for loss of control and harmful manipulation risks | Yao Huang, Zhiyuan Zeng, Yu Wang +14 | cs.CL | 2026-10-26 |
| #31 | Cross-Domain Sequential Recommendation with Representation-Level User Transfer | Abdulaziz Samra, Nikita Sukhorukov, Alexey Grishanov +2 | cs.IR | 2026-10-26 |
| #32 | A Contextual Measure of Ambiguity in Prescriptive Text | Sally Dong, Luke Thorburn, Andrew Konya +1 | cs.CL | 2026-10-26 |
| #33 | CRIM: Composable and Reusable Item Memory for Efficient Personalized Retrieval | Haolin Li, Haipeng Zhang, Mang Li +5 | cs.IR | 2026-10-26 |
| #34 | Conversational Generalized Linear Bandits with Hybrid Feedback | Yurui Zou, Qirun Zeng, Jinhang Zuo | cs.LG | 2026-10-26 |
| #35 | MuSID-KD: Multigranularity Knowledge Distillation for Generative Recommendation with Semantic IDs | Fengshi Zhang, Xiyan Ding, Shuxiao Xie +1 | cs.AI | 2026-10-26 |
| #36 | Sequential versus fully conditional specification for tree-based synthesis of health data | R{é}my Chapelle, Mohammed Sedki | stat.ML | 2026-10-26 |
| #37 | Centralized Critics for N-Agent Ad Hoc Teamwork | Andrew McAlinden, Caroline Wang, Steven Shi +3 | cs.AI | 2026-10-26 |
| #38 | Discovering Topics from Linear Autoencoders | Jutiyakhun Srisoparp, Donlapark Ponnoprat | cs.IR | 2026-10-26 |
| #39 | Agent Memory as Recommendation: Recommender-System Design for Long-Term Memory of LLM Agents | Xinyu Zhang, Weiwei Sun | cs.IR | 2026-10-26 |
| #40 | SlowLab: Benchmarking Autonomous AI Agents on a Year of Experiments They Cannot Undo | Ningpei Ding, Zai Wen Feng | cs.AI | 2026-10-26 |
| #41 | From Explaining to Enabling: Actionable Transparency in Algorithmic Insurance Pricing | Agathe Fernandes Machado, Fei Huang | cs.LG | 2026-10-25 |
| #42 | BE-CTDE: Blockchain-Enabled Multi-Agent Reinforcement Learning with Anomaly Detection and Token Economics | Chih-Wei Huang, Hsin-Chieh Lee, Yun-Chen Yu +3 | cs.MA | 2026-10-25 |
| #43 | Are We Done with UMLS Injection into Language Models for Medical Question Answering? | Yiran Zeng, Giacomo Frisoni, Lorenzo Molfetta +1 | cs.AI | 2026-10-24 |
| #44 | How Geometry Shapes Generative Model Evaluation on Riemannian Manifolds | Misha Oberski, Valentijn Oldenburg, Xanthos Kekkos +6 | cs.LG | 2026-10-24 |
| #45 | Seeing the Options: Typed Decisions over Visual Candidates with Reusable Option Memory | Fengxin Li | cs.AI | 2026-10-24 |
| #46 | Knowledge Distillation across Item and Code Spaces for Parallel Generative Recommendation | Yixuan Xu, Hailin Liu, Linxiang Peng +1 | cs.IR | 2026-10-23 |
| #47 | Recommender regret for improving regularised RL estimation with bandits and MCTS | Danilo Vucetic, Alexandre Larouche, Mohammad Pedramfar +2 | cs.LG | 2026-10-23 |
| #48 | Amortized Thompson Sampling and Efficient Information-Directed Sampling for Simulator-Based Design | Michal Kobiela, Michael U. Gutmann | cs.LG | 2026-10-23 |
| #49 | From Perception to Pixels: Human-Derived Visually Distinct Colors for Improved Dominant Color Extraction | Uldana Shyndali, Nurdaulet Toleugaliyev, Kuat Zharykbayev +2 | cs.HC | 2026-10-23 |
| #50 | ALLMTS: Automated LLM-based Medical Triage System | Michał Remigiusz Janiszewski, Artur Stopa, Łukasz Lenkiewicz +2 | cs.AI | 2026-10-23 |