Show Notes
Today's papers: - Toward Structured Financial Foundation Models: https://arxiv.org/abs/2610.26516v1 - Training-Free Continual Learning for Multimodal Forecasting via Prompt Evolution: https://arxiv.org/abs/2610.27468v1 - Training Natural Schemers: RL Can Amplify Oversight-Conditional Behavior: https://arxiv.org/abs/2610.26551v1 - RefCraft: Benchmarking Visual-Reference-Conditioned Agentic Generation through Web Development: https://arxiv.org/abs/2610.26826v1 - Binary Discrete Diffusion: Candidate-Set Diffusion for Logic and Planning Tasks: https://arxiv.org/abs/2610.28543v1
This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.
More from DailyArxiv - AI Research Podcast
Today's papers: - Joints, Camera, Action! Co-Generating 3D Motion and Video for Arbitrary Rigs: https://arxiv.org/abs/2610.28632v1 - Identifying Dependent Components from Multi-domain Linear Mixtures: https://arxiv.org/abs/2610.28330v1 - Toward Agentic AI for the 6G Physical Layer: From Algorithm Discovery to Verified Baseband Silicon: https://arxiv.org/abs/2610.27797v1 - VLM-Guided Contact Retargeting and Generative Partner Modeling for Humanoid-Human Interaction: https://arxiv.org/abs/2610.28523v1 - CulturalRiddles: A Multicultural Benchmark of Riddles: https://arxiv.org/abs/2610.29968v1
Today's papers: - AI-Driven Reproducibility and Analytical Robustness in Scientific Discovery: https://arxiv.org/abs/2610.23845v1 - Rethinking the design space of Vanilla Pixel Diffusion Transformers: https://arxiv.org/abs/2610.23854v1 - qGAMMA: A Framework for Optimal DNN Mapping on Multi-Precision Accelerators: https://arxiv.org/abs/2610.23222v1 - Narrow Decision Models: A System-1 Architecture for Calibrated, Typed Decisions: https://arxiv.org/abs/2610.25553v1 - Generative Policy Improvement from Observational Data: https://arxiv.org/abs/2610.23436v1
Today's papers: - Towards Continual Learning: Mitigating Forgetting With Subspace Tuning: https://arxiv.org/abs/2610.22293v1 - Librarian Agents: Training LLMs to Curate Long-Context Workspaces that Anticipate Future Queries: https://arxiv.org/abs/2610.22273v1 - Progress Reward Model for Reinforcement Learning via Large Language Models: https://arxiv.org/abs/2610.22056v1 - Dexterity from Supervised Play: https://arxiv.org/abs/2610.22340v1 - Reinforcement Learning-driven Diffusion Models: Language, Vision, and Beyond: https://arxiv.org/abs/2610.21539v1
Today's papers: - TRACER: A Multimodal Harness for Patient Care in Hospitals: https://arxiv.org/abs/2610.21266v1 - AI Consilium: a Benchmark of LLM Clinical Multidisciplinary Second Opinions: https://arxiv.org/abs/2610.22298v1 - DeLoop: Repeated Actions as Self-Supervision for Long-Horizon Agents: https://arxiv.org/abs/2610.19376v1 - Interpreting Language Model Parameters: https://arxiv.org/abs/2610.20748v1 - Learning Perception to Action Rules through Reinforcement Learning for Theory-of-Mind Reasoning: https://arxiv.org/abs/2610.19796v1
Today's papers: - QK-Edit: Revisiting Attention-based Injection in MM-DiT for Image and Video Editing: https://arxiv.org/abs/2610.17829v2 - Hybrid Reasoning Agents: https://arxiv.org/abs/2610.18861v1 - Seeing, Maintaining, and Learning: The Evolution of Multimodal Agent Memory: https://arxiv.org/abs/2610.19366v1 - Scaling LLM Inference via Parallelism: Throughput-Latency Trade-off: https://arxiv.org/abs/2610.19405v1 - Whose turn is it? Context-guided model routing for stateful agents: https://arxiv.org/abs/2610.19292v1