Key papers

• Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing (2026)
  Xinjie Zhang et al.
  13.98
• AgentDebugX: An Open-Source Toolkit for Failure Observability, Attribution, and Recovery in LLM Agents (2026)
  Kunlun Zhu et al.
  11.84
• Wan-Streamer v0.2: Higher Resolution, Same Latency (2026)
  Lianghua Huang et al.
  10.59
• ISO: An RLVR-Native Optimization Stack (2026)
  Hanqing Zhu et al.
  8.86
• PACE: A Proxy for Agentic Capability Evaluation (2026)
  Yueqi Song et al.
  8.24
• NexForge: Scaling Agent Capabilities through Requirement-Driven Task Synthesis for LLMs (2026)
  Jiarong Zhao et al.
  7.96
• FilmWorld: Agentic Novel-to-Film Generation through Dynamic Cinematic World Modeling (2026)
  Jialong Zuo et al.
  7.86
• Multi-Agent LLMs Fail to Explore Each Other (2026)
  Hyeong Kyu Choi et al.
  7.36
• Out-of-Distribution Generalization in Time Series: A Survey (2025)
  Xin Wu et al.
  7.35
• Towards Mechanistically Understanding Why Memorized Knowledge Fails to Generalize in Large Language Model Finetuning (2026)
  Lu Dai et al.
  7.34
• Deep Learning for Multivariate Time Series Imputation: A Survey (2024)
  Jun Wang et al.
  7.10
• Large-Language-Models-as-a-Judge in Theory-Agnostic Adaptive Metric-Alignment for Prototypical Networks in Personality Recognition (2026)
  Jing Jie Tan et al.
  5.89
• Evidence-Backed Video Question Answering (2026)
  Shijie Wang et al.
  5.88
• BEDTime: A Unified Benchmark for Automatically Describing Time Series (2025)
  Medhasweta Sen et al.
  5.57
• AI-enabled gravitational-waves searches for binary neutron stars at optimal sensitivity (2026)
  Bhavya Gupta et al.
  5.49
• Decentralized Stochastic Subgradient-type Methods with Communication Compression for Nonsmooth Nonconvex Optimization (2026)
  Siyuan Zhang et al.
  5.49
• Full Bayesian Reinforcement Learning via LF-IBIS (2026)
  Stefano Masini et al.
  5.01
• TUDUM: A Turkish-Thinking Reasoning Pipeline for Qwen3.5-27B (2026)
  Baran Bingol et al.
  5.01
• OpenSafeIntent: Evaluating Intent-Calibrated Safe Completion Across Dual-Use Prompt Sets (2026)
  Rheeya Uppaal et al.
  5.01
• G-RRM: Guiding Symbolic Solvers with Recurrent Reasoning Models (2026)
  Timo Bertram et al.
  5.01
• COBART: Controlled, Optimized, Bidirectional and Auto-Regressive Transformer for Ad Headline Generation (2026)
  Yashal Shakti Kanungo et al.
  5.01
• ICDAR 2026 HIPE-OCRepair Competition on LLM-Assisted OCR Post-Correction for Historical Documents (2026)
  Maud Ehrmann et al.
  5.01
• ProsMAE: Multi-Source MAE Pretraining for ISUP Grade Classification (2026)
  Anna Jung et al.
  5.01
• Track2Map: Online Deformable SLAM with Motion-Aware Pose Optimization in Robotic Surgery (2026)
  Tianyi Song et al.
  5.01
• When Synthetic Speech Is All You Have: Better Call GRPO (2026)
  Shashi Kumar et al.
  5.01
• When the Judge Changes, So Does the Measurement: Auditing LLM-as-Judge Reliability (2026)
  Zongyou Yang et al.
  5.01
• A Practical Investigation of Training-free Relaxed Speculative Decoding (2026)
  Guoxuan Xia et al.
  5.01
• Conceptual Networks for Cross-Linguistic Idiomatic Expressions: A Feature-Based Graph Approach (2026)
  Kiran Pala et al.
  5.01
• STEC: Evidence Compression for Deep Search in Open-domain Multi-Hop QA (2026)
  Xinkang Li et al.
  5.01
• Distribution-First Population Simulation: Collapse, Calibration, and Recall in Non-WEIRD LLM Persona Modeling (2026)
  Gurkan Ozkan
  5.01
• AutoIndex: Learning Representation Programs for Retrieval (2026)
  Sam O'Nuallain et al.
  5.01
• Norm or Direction? Decoding Vision Mambas for High-Resolution Vision (2026)
  Jin Yu et al.
  5.01
• Evaluating medical AI under missing information: same-provider judges and human raters change apparent safety (2026)
  Koyar Afrasyab
  5.01
• Dual Adversarial Fine-tuning for Enhancing Robustness of Large Vision Language Model (2026)
  Sibo Wang et al.
  5.01
• Measuring Reward-Seeking via Contrastive Belief Updates (2026)
  Axel H{\o}jmark et al.
  5.01
• CoGoal3D: Collaborative 3D Object Detection with 3D-Aware Fusion and Refinement (2026)
  Zhihao Yang et al.
  5.01
• Prompt Design at Scale: How Format, Instruction Count, and Context Length Shape Instruction Adherence and Hallucination in Large Language Models (2026)
  Netanel Eliav
  5.00
• Active Sensing for RIS-Aided Tracking and Power Control: A Hybrid Neuroevolution and Supervised Learning Approach (2026)
  George Stamatelis et al.
  4.39
• From World Models to World Action Models: A Concise Tutorial for Robotics (2026)
  Xiaoxiong Zhang et al.
  4.39
• Beyond Detection: Redesigning Assessment and Governande of Generative AI at the Universidad Polit\'ecnica de Madrid (UPM) (2026)
  Jessica D\'iaz et al.
  4.39
• Benchmarking Federated Learning and Knowledge Distillation for Point Cloud Classification (2026)
  Aizierjiang Aiersilan
  4.39
• Black-Box Inference of LLM Architectural Properties with Restrictive API Access (2026)
  Christopher Ellis et al.
  4.39
• Risk Architecture for AI-Native Engineering Teams: An Organizational Framework for Agentic System Governance (2026)
  Laxmipriya Ganesh Iyer
  4.39
• Evolutionary Feature Engineering for Structured Data (2026)
  Ege Onur Taga et al.
  4.39
• Reformalization of the Jordan Curve Theorem (2026)
  Simon Guilloud et al.
  4.39
• An Exploratory Study on LLM-Generated Code and Comments in Code Repositories (2026)
  Yongyi Ji et al.
  4.39
• ContextSniper: AntTrail's Token-Efficient Code Memory for Repository-Level Program Repair (2026)
  Chiwang Luk et al.
  4.39
• ContextNest: Verifiable Context Governance for Autonomous AI Agent (2026)
  Misha Sulpovar (PromptOwl et al.
  4.39
• Automated grading of Linux/bash examinations using large language models: a four-level cognitive taxonomy approach (2026)
  Manuel Alonso-Carracedo et al.
  4.39
• Automated Recommendation of Programming Learning Content Using Pattern-based Knowledge Components (2026)
  Muntasir Hoq et al.
  4.39
• KAT-Coder-V2.5 Technical Report (2026)
  Bo Huang et al.
  4.39
• Decision Protocols in Multi-Agent Large Language Model Conversations (2026)
  Lars Benedikt Kaesberg
  4.39
• EvalLoop: A Methodology for Evaluation-Driven Iterative Improvement of Business AI Systems (2026)
  Kenneth Benavides et al.
  4.39
• Memory in the Loop: In-Process Retrieval as ExtendedWorking Memory for Language Agents (2026)
  Yusuf Khan et al.
  4.39
• From Closed-Loop Optimization to Open Decision Making: Coupled Digital Twins for Predictive and Autonomous Microscopy (2026)
  Yu Liu et al.
  4.39
• PCBWorld: A Benchmark Environment for Engine-Grounded PCB Design Automation (2026)
  Hyungseok Song et al.
  4.39
• DT-Guard: Intent-Driven Reasoning-Active Training for Reasoning-Free LLM Safety Guardrail (2026)
  He Liu et al.
  4.39
• Danus: Orchestrating Mathematical Reasoning Agents with Fact-Graph Memory (2026)
  Jihao Liu et al.
  4.39
• FootsiesGym: A Fighting Game Benchmark for Two-Player Zero-Sum Imperfect-Information Games (2026)
  Chase McDonald et al.
  4.39
• Reaction-network reasoning with frontier models for experimentally confirmed catalyst-selectivity hypotheses (2026)
  Sutanay Choudhury et al.
  4.39