AI — Radar & Model Watch

Papers, models, changelogs, benchmarks.

1. ResearchAmazonamazon-science·5h ago

   Amazon and University of Michigan give robots a sense of touch

   HydroShear, a new physics-based simulator, teaches robots how to use their sense of touch to perform complex manipulation tasks, in a way that transfers…

2. ResearchResearcharxiv-cs-cl·18h ago

   Unveiling Public Opinion: A Study of Sentiment Analysis Using LSTM and Traditional Models

   arXiv:2607.07772v1 Announce Type: new Abstract: In this age of social media, sites like Twitter have become meeting places for people to share their views…

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3. ResearchResearcharxiv-cs-cl·18h ago

   From Solvers to Research: Large Language Model-Driven Formal Mathematics at the Research Frontier

   arXiv:2607.07779v1 Announce Type: new Abstract: Recent developments in AI for Mathematics (AI4Math), especially Large Language Model (LLM)-driven theorem…

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4. ResearchResearcharxiv-cs-cl·18h ago

   DeepSearch-World: Self-Distillation for Deep Search Agents in a Verifiable Environment

   arXiv:2607.07820v1 Announce Type: new Abstract: Training tool-use agents to improve from their own experience remains challenging, as supervised fine-tuning…

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5. ResearchResearcharxiv-cs-cl·18h ago

   How Do I Know What to Say Next? Barenholtz's Autogenerative Theory as an Enrichment of Harrisean Integrationism

   arXiv:2607.07891v1 Announce Type: new Abstract: Roy Harris's Integrationist linguistics offers a compelling critique of the referentialist tradition…

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6. ResearchResearcharxiv-cs-cl·18h ago

   Scalable and Culturally Specific Stereotype Dataset Construction via Human-LLM Collaboration

   arXiv:2607.07895v1 Announce Type: new Abstract: Research on stereotypes in large language models (LLMs) has largely focused on English-speaking contexts…

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7. ResearchResearcharxiv-cs-cl·18h ago

   When Debiasing Backfires: Counterintuitive Side Effects of Preprocessing-Based Stereotype Mitigation

   arXiv:2607.07937v1 Announce Type: new Abstract: Preprocessing-based methods for stereotype mitigation, such as pre-/post-training on debiased corpora, are…

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8. ResearchResearcharxiv-cs-cl·18h ago

   A Multi-cluster Boundary Learning Method for Out-of-Scope Intent Detection via MiniLM Embedding

   arXiv:2607.07974v1 Announce Type: new Abstract: Intent detection is a critical task that bridges human intents and system actions in human-machine…

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9. ResearchResearcharxiv-cs-cl·18h ago

   When Implausible Tokens Get Reinforced: Tail-Aware Credit Calibration for LLM Reinforcement Learning

   arXiv:2607.07976v1 Announce Type: new Abstract: Reinforcement learning (RL) has achieved remarkable success in enhancing the reasoning capabilities of large…

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10. ResearchResearcharxiv-cs-ai·18h ago

    When Does In-Context Search Help? A Sampling-Complexity Theory of Reflection-Driven Reasoning

    arXiv:2607.06720v1 Announce Type: new Abstract: Training large language models (LLMs) with extended reasoning has enabled in-context search, in which models…

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11. ResearchResearcharxiv-cs-ai·18h ago

    LLM-powered reasoning in agent-based modeling

    arXiv:2607.06757v1 Announce Type: new Abstract: Agent-based modeling (ABM) has the capability to model millions of individuals and their interactions, which…

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12. ResearchResearcharxiv-cs-ai·18h ago

    QANTIS: Hardware-Calibrated Sequential POMDP Belief Updates on IBM Heron

    arXiv:2607.06760v1 Announce Type: new Abstract: Autonomous systems under partial observability act on beliefs, not raw sensor events.

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13. ResearchResearcharxiv-cs-ai·18h ago

    Cost-Effective Agent Harnesses for Abstract Reasoning and Generalization on ARC-AGI-1

    arXiv:2607.06764v1 Announce Type: new Abstract: Recent progress on ARC-AGI-1 from disclosed architectures has come broadly from two regimes: heavy test-time…

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14. ResearchResearcharxiv-cs-ai·18h ago

    Evaluating SageMath-Augmented LLM Agents for Computational and Experimental Mathematics

    arXiv:2607.06820v1 Announce Type: new Abstract: Recent advances in AI for Mathematics have focused largely on autoformalization and theorem proving, leaving…

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15. ResearchResearcharxiv-cs-ai·18h ago

    The Harness Effect: How Orchestration Design Sets the Token Economics of Enterprise Agentic AI

    arXiv:2607.06906v1 Announce Type: new Abstract: Agentic AI development today runs on token maxing: buying capability with tokens -- longer reasoning traces…

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16. ResearchResearcharxiv-cs-ai·18h ago

    Grounding Spatial Relations in a Compact World Model: Instruction Leakage and a Goal-Free Dynamics Fix

    arXiv:2607.06925v1 Announce Type: new Abstract: Compact world models that condition on a language goal promise to ground relations such as ``put the red…

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17. ResearchResearcharxiv-cs-ai·18h ago

    Large Behavior Model: A Promptable Digital Twin of the Retail Customer

    arXiv:2607.06993v1 Announce Type: new Abstract: Customer behavior modeling underpins recommendation, marketing, and decision support, yet existing…

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18. ResearchResearcharxiv-cs-lg·18h ago

    Towards the Explainability of Temporal Graph Networks via Memory Backtracking and Topological Attribution

    arXiv:2607.07716v1 Announce Type: new Abstract: Temporal graphs are ubiquitous in real-world applications and Temporal Graph Networks (TGNs) have achieved…

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19. ResearchResearcharxiv-cs-lg·18h ago

    Who Gets Missed in the Tail? Thresholded Subgroup Underdiagnosis in Long-Tailed Chest X-ray Classification

    arXiv:2607.07717v1 Announce Type: new Abstract: In chest X-ray (CXR) classification, acceptable ranking performance can still leave rare-positive patients…

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20. ResearchResearcharxiv-cs-lg·18h ago

    LLT: Local Linear Transformer for PDE Operator Learning

    arXiv:2607.07718v1 Announce Type: new Abstract: Neural operators have become a common approach for learning PDE solution maps and accelerating numerical…

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21. ResearchResearcharxiv-cs-lg·18h ago

    ReCoLoRA: Spectrum-Aware Recursive Consolidation for Continual LLM Fine-Tuning

    arXiv:2607.07719v1 Announce Type: new Abstract: Parameter-efficient fine-tuning adapts a large language model to one task cheaply, but across a task…

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22. ResearchResearcharxiv-cs-lg·18h ago

    Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS--ANS Dynamic

    arXiv:2607.07720v1 Announce Type: new Abstract: Sleep physiology arises from the coordinated dynamics of the central nervous system (CNS) and autonomic…

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23. ResearchResearcharxiv-cs-lg·18h ago

    Uncertainty-gated selection for block-sparse attention

    arXiv:2607.07724v1 Announce Type: new Abstract: Block-sparse attention scales long-context language models by replacing the O(N^2) softmax with a per-query…

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24. ResearchResearcharxiv-cs-lg·18h ago

    SHIFT: Survival Prediction from Incomplete and Heterogeneous Genomic Data

    arXiv:2607.07725v1 Announce Type: new Abstract: Genomic prediction models often fail to transfer across institutions because sequencing panels differ across…

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25. ResearchResearcharxiv-cs-lg·18h ago

    Architecture Generalization with MetaNCA

    arXiv:2607.07743v1 Announce Type: new Abstract: Self-organization is an emergent property of life, driven by the collective behavior of individual…

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