Academic

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Academic · 1 min

RoboAlign: Learning Test-Time Reasoning for Language-Action Alignment in Vision-Language-Action Models

arXiv:2603.21341v1 Announce Type: new Abstract: Improving embodied reasoning in multimodal-large-language models (MLLMs) is essential for building vision-language-action models (VLAs) on top of them to readily …

Dongyoung Kim, Sumin Park, Woomin Song, Seungku Kim, Taeyoung Kim, Huiwon Jang, Jinwoo Shin, Jaehyung Kim, Younggyo Seo

28 views Mar 24

Academic · 1 min

Agentic AI and the next intelligence explosion

arXiv:2603.20639v1 Announce Type: new Abstract: The "AI singularity" is often miscast as a monolithic, godlike mind. Evolution suggests a different path: intelligence is fundamentally plural, …

James Evans, Benjamin Bratton, Blaise Ag\"uera y Arcas

29 views Mar 24

Academic · 1 min

Governance-Aware Vector Subscriptions for Multi-Agent Knowledge Ecosystems

arXiv:2603.20833v1 Announce Type: new Abstract: As AI agent ecosystems grow, agents need mechanisms to monitor relevant knowledge in real time. Semantic publish-subscribe systems address this …

Steven Johnson

33 views Mar 24

Academic · 1 min

AutoMOOSE: An Agentic AI for Autonomous Phase-Field Simulation

arXiv:2603.20986v1 Announce Type: new Abstract: Multiphysics simulation frameworks such as MOOSE provide rigorous engines for phase-field materials modeling, yet adoption is constrained by the expertise …

Sukriti Manna, Henry Chan, Subramanian K. R. S. Sankaranarayanan

62 views Mar 24

Academic · 1 min

Thinking into the Future: Latent Lookahead Training for Transformers

arXiv:2603.20219v1 Announce Type: new Abstract: Autoregressive language models trained with next-token prediction generate text by sampling one discrete token at a time. Although very scalable, …

Lorenzo Noci, Gregor Bachmann, Seyed-Mohsen Moosavi-Dezfooli, Moin Nabi

28 views Mar 24

Academic · 1 min

Me, Myself, and $\pi$ : Evaluating and Explaining LLM Introspection

arXiv:2603.20276v1 Announce Type: new Abstract: A hallmark of human intelligence is Introspection-the ability to assess and reason about one's own cognitive processes. Introspection has emerged …

Atharv Naphade, Samarth Bhargav, Sean Lim, Mcnair Shah

32 views Mar 24

Academic · 1 min

Grounded Chess Reasoning in Language Models via Master Distillation

arXiv:2603.20510v1 Announce Type: new Abstract: Language models often lack grounded reasoning capabilities in specialized domains where training data is scarce but bespoke systems excel. We …

Zhenwei Tang, Qianfeng Wen, Seth Grief-Albert, Yahya Elgabra, Blair Yang, Honghua Dong, Ashton Anderson

38 views Mar 24

Academic · 1 min

Children's Intelligence Tests Pose Challenges for MLLMs? KidGym: A 2D Grid-Based Reasoning Benchmark for MLLMs

arXiv:2603.20209v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs) combine the linguistic strengths of LLMs with the ability to process multimodal data, enbaling them …

Hengwei Ye, Yuanting Guan, Yuxuan Ge, Tianying Zhu, Zhenhan Guan, Yijia Zhong, Yijing Zhang, Han Zhang, Yingna Wu, Zheng Tian

29 views Mar 24

Academic · 1 min

Reasoning Traces Shape Outputs but Models Won't Say So

arXiv:2603.20620v1 Announce Type: new Abstract: Can we trust the reasoning traces that large reasoning models (LRMs) produce? We investigate whether these traces faithfully reflect what …

Yijie Hao, Lingjie Chen, Ali Emami, Joyce Ho

27 views Mar 24

Academic · 1 min

The AI Scientific Community: Agentic Virtual Lab Swarms

arXiv:2603.21344v1 Announce Type: new Abstract: In this short note we propose using agentic swarms of virtual labs as a model of an AI Science Community. …

Ulisses Braga-Neto

28 views Mar 24

Academic · 1 min

Modeling Epistemic Uncertainty in Social Perception via Rashomon Set Agents

arXiv:2603.20750v1 Announce Type: new Abstract: We present an LLM-driven multi-agent probabilistic modeling framework that demonstrates how differences in students' subjective social perceptions arise and evolve …

Jinming Yang, Xinyu Jiang, Xinshan Jiao, Xinping Zhang

37 views Mar 24

Academic · 1 min

Fast-Slow Thinking RM: Efficient Integration of Scalar and Generative Reward Models

arXiv:2603.20212v1 Announce Type: new Abstract: Reward models (RMs) are critical for aligning Large Language Models via Reinforcement Learning from Human Feedback (RLHF). While Generative Reward …

Jiayun Wu, Peixu Hou, Shan Qu, Peng Zhang, Ning Gu, Tun Lu

32 views Mar 24

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Academic

RoboAlign: Learning Test-Time Reasoning for Language-Action Alignment in Vision-Language-Action Models

Agentic AI and the next intelligence explosion

Governance-Aware Vector Subscriptions for Multi-Agent Knowledge Ecosystems

AutoMOOSE: An Agentic AI for Autonomous Phase-Field Simulation

Thinking into the Future: Latent Lookahead Training for Transformers

Me, Myself, and $\pi$ : Evaluating and Explaining LLM Introspection

Grounded Chess Reasoning in Language Models via Master Distillation

Children's Intelligence Tests Pose Challenges for MLLMs? KidGym: A 2D Grid-Based Reasoning Benchmark for MLLMs

Reasoning Traces Shape Outputs but Models Won't Say So

The AI Scientific Community: Agentic Virtual Lab Swarms

Modeling Epistemic Uncertainty in Social Perception via Rashomon Set Agents

Fast-Slow Thinking RM: Efficient Integration of Scalar and Generative Reward Models

JCG, PC

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