Show Notes
Today's papers: - CoWriter: Guiding Methodological and Synergetic Human-LLM Co-Authoring: https://arxiv.org/abs/2610.31277v1 - A Mathematical Theory of the Jacobian Lens: https://arxiv.org/abs/2610.31955v1 - Anticipating Social Consequences with Distributional World Models: https://arxiv.org/abs/2610.30657v1 - Directing to Diversify: Multi-Directional Search for Automatic Heuristic Design: https://arxiv.org/abs/2610.31048v1 - The Helpful Agent Problem: When Emergent Cooperation Among LLM Agents Bypasses Intended Workflows: https://arxiv.org/abs/2610.31985v1
This podcast is from Colin Davis (colin-davis.com) using Claude & Elevenlabs.
More from DailyArxiv - AI Research Podcast
Today's papers: - Parallel Thinking for Large Language Model with Path Diversity: https://arxiv.org/abs/2610.29501v1 - Enhancing Cross-Grade Generalization in Banana Variety Classification via Hybrid CNN-Transformers and Knowledge Self-Distillation: https://arxiv.org/abs/2610.29008v1 - Same Beliefs, Different Policies: Learning Reusable Representations for Early Stopping in LLM Reasoning: https://arxiv.org/abs/2610.30450v1 - Mixing Matters: Evidence Position Bias Across Sequence Mixers in Long-Context Question Answering: https://arxiv.org/abs/2610.31135v1 - Multimodal Embodied Agents: A Unified Capability-centric Perspective from Computer-Use to Robot-Use: https://arxiv.org/abs/2610.30108v1
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: - 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
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