Key papers

• ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution (2025)
  Robert Tjarko Lange et al.
  11.23
• AgentDebugX: An Open-Source Toolkit for Failure Observability, Attribution, and Recovery in LLM Agents (2026)
  Kunlun Zhu et al.
  10.34
• CausaLab: A Scalable Environment for Interactive Causal Discovery Toward AI Scientists (2026)
  Junlin Yang et al.
  9.95
• ISO: An RLVR-Native Optimization Stack (2026)
  Hanqing Zhu et al.
  8.86
• FilmWorld: Agentic Novel-to-Film Generation through Dynamic Cinematic World Modeling (2026)
  Jialong Zuo et al.
  7.86
• Point-DeepONet: Predicting Nonlinear Fields on Non-Parametric Geometries under Variable Load Conditions (2024)
  Jangseop Park and Namwoo Kang
  7.77
• AbBiBench: A Benchmark for Antibody Binding Affinity Maturation and Design (2025)
  Xinyan Zhao et al.
  6.80
• Masked Autoencoders for Microscopy are Scalable Learners of Cellular Biology (2024)
  Oren Kraus et al.
  6.08
• 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
• OrbitQuant: Data-Agnostic Quantization for Image and Video Diffusion Transformers (2026)
  Donghyun Lee et al.
  5.87
• AuraGenome: An LLM-Powered Framework for On-the-Fly Reusable and Scalable Circular Genome Visualizations (2025)
  Chi Zhang et al.
  5.82
• A Foundation Model for Spatial Proteomics (2025)
  Muhammad Shaban et al.
  5.76
• Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting (2025)
  Yingtao Luo et al.
  5.70
• MIRROR: Multi-Modal Pathological Self-Supervised Representation Learning via Modality Alignment and Retention (2025)
  Tianyi Wang et al.
  5.59
• AI-enabled gravitational-waves searches for binary neutron stars at optimal sensitivity (2026)
  Bhavya Gupta et al.
  5.49
• Robust for the Wrong Reasons: The Representational Geometry of LLM Robustness to Science Skepticism (2026)
  Minjong Cheon
  5.49
• Optimal stimulation sites are not the most affected: personalised models of resting-state fMRI in Alzheimer's disease (2026)
  Cristiano Capone et al.
  5.49
• Leveraging KANs for Expedient Training of Multichannel MLPs via Preconditioning and Geometric Refinement (2025)
  Jonas A. Actor et al.
  5.35
• Mixture-of-Parallelisms: Towards Memory-Efficient Training Stack for Mixture-of-Experts Models (2026)
  Xuan-Phi Nguyen et al.
  5.01
• STAMP: Provenance-Guided Credit Assignment for Deep Search Agents (2026)
  Ke Xu et al.
  5.01
• Norm or Direction? Decoding Vision Mambas for High-Resolution Vision (2026)
  Jin Yu et al.
  5.01
• Deep Learning Estimation of Sex, Age, Height, and Weight from CT-derived Digitally Reconstructed Radiographs (2026)
  Tomohiro Kikuchi et al.
  5.01
• Bounding Boxes to Improve Small Language Model Performance on Vision-Based Grading Tasks (2026)
  Lachlan McGinness
  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
• PathAgentBench: Benchmarking Evidence-Seeking Vision-Language Models on Whole-Slide Pathology Image (2026)
  Dankai Liao 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
• Zero-shot protein stability prediction by inverse folding models: a free energy interpretation (2025)
  Jes Frellsen et al.
  4.98
• CellCLIP -- Learning Perturbation Effects in Cell Painting via Text-Guided Contrastive Learning (2025)
  Mingyu Lu et al.
  4.98
• Developing a PET/CT Foundation Model for Cross-Modal Anatomical and Functional Imaging (2025)
  Yujin Oh et al.
  4.82
• Biomedical Knowledge Graph: A Survey of Domains, Tasks, and Real-World Applications (2025)
  Yuxing Lu et al.
  4.71
• Spatiotemporal wall pressure forecast of a rectangular cylinder with physics-aware DeepU-Fourier neural network (2025)
  Junle Liu et al.
  4.58
• Graph Neural Networks in Multi-Omics Cancer Research: A Structured Survey (2025)
  Payam Zohari and Mostafa Haghir Chehreghani
  4.47
• Revisiting Chain-of-Thought Reasoning under Limited Supervision: Semi-supervised Chain-of-Thought Learning (2026)
  Hongyang He et al.
  4.39
• ADVENT: LLM-Driven Automatic Predicate Invention for ILP (2026)
  Tingting Yu et al.
  4.39
• Spatial Support Matters: Geometry-Aware Graph Fusion for Rainfall Field Reconstruction (2026)
  Low Jun Yu et al.
  4.39
• Separating Expert Retention from Autonomous Source Inference in Raw-ECG-Replay-Free Continual ECG Deployment (2026)
  Yufan Lu et al.
  4.39
• Model Merging as Probabilistic Inference in Fine-Tuning Parameter Space (2026)
  Long Minh Bui et al.
  4.39
• Safety Targeted Embedding Exploit via Refinement (2026)
  Joshua Adrian Cahyono
  4.39
• Rethinking Complexity Metrics for LLM-Integrated Applications: Beyond Source Code (2026)
  Zihao Xu et al.
  4.39
• Algebraic Model Counting for Global Analysis of Optimal Decision Trees (2026)
  Hiroki Arimura
  4.39
• Criticality-Based Guard Rail Validation for AI Agent Decisions in Autonomous Telecom Networks (2026)
  Ravi Kant Sharma
  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
• Performance Optimization and Comparative Analysis of Generative AI Models on Advanced Accelerators (2026)
  Amitash Nanda et al.
  4.39
• Automated Recommendation of Programming Learning Content Using Pattern-based Knowledge Components (2026)
  Muntasir Hoq et al.
  4.39
• Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift (2026)
  Robin Holzinger (Department of Electrical Engineering and Computer Sciences et al.
  4.39
• Modeling Normal Is All You Need: Joint Latent Clustering for Anomaly Detection in Multimodal Cyber-Physical Systems (2026)
  Alexander Apartsin et al.
  4.39
• x-Prediction Is All You Need:Training-Free Accelerated Generation via Endpoint Decodability (2026)
  Xin Peng et al.
  4.39
• Evaluating Fine-Tuning and Metrics for Neural Decompilation of Dart AOT Binaries (2026)
  Raafat Abualazm et al.
  4.39
• Demonstrating TOFFEE: A Learned System for Synthesizing Data Agent Trajectories at Scale (2026)
  Ziting Wang et al.
  4.39
• Designing Maintainable Hybrid Generative Systems: A Quantum-Inspired Approach to Automated Music Harmony Generation (2026)
  Josef Pavlicek
  4.39
• Reaction-network reasoning with frontier models for experimentally confirmed catalyst-selectivity hypotheses (2026)
  Sutanay Choudhury et al.
  4.39
• Spectral Analysis of Dueling Q-Learning (2026)
  Donghwan Lee
  4.39
• Self-Adaptive Anomaly Detection with Reinforcement Learning and Human Feedback in Connected Vehicles (2026)
  Matthias Wei{\ss} et al.
  4.39
• Interpreting Latent CoT Reasoning as Dynamical Systems (2026)
  Sabari Iyyappan Duraipandian et al.
  4.39
• Task-Conditioned Synthetic Data Generation for Improving Machine Learning Performance in Agricultural Prediction Tasks (2026)
  Hamid Ebrahimy et al.
  4.39
• Unified Backbone Refinement for Diffusion Models via Internal-Latent Analysis (2026)
  Haksoo Lim et al.
  4.39
• Towards Objective Dysgraphia Detection: A Multi-Branch Deep Learning Approach for Online Handwriting Analysis (2026)
  Lydia Ouhib (LIASD) et al.
  4.39
• TopoExplore: Topological Discrimination for Archive-Based Exploration (2026)
  Jason Carlson
  4.39