Sep 4, 2026
Efficient Test-Time Adaptation through Human-AI Interaction
Efficient Test-Time Adaptation through Human-AI Interaction AI agents are typically trained on massive datasets to be generalists, but they often struggle to...
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AI Research Papers
Understand new AI research with readable explanations and links to the original papers.
Sep 4, 2026
Xiaomi-TabLDM: A Tabular Foundation Model Technical Report
Xiaomi-TabLDM is a foundation model designed to handle tabular data—the structured rows and columns common in fields like finance and healthcare—without the...
Sep 4, 2026
Speak for Me: Giving LLMs the Situational Awareness to Participate in a Meeting
Speak for Me: Giving LLMs the Situational Awareness to Participate in a Meeting addresses a major hurdle in AI: how to make LLM agents effective proxies for...
Sep 4, 2026
InSituMeasure: Probing Situated Measurement Grounding in Industrial Scenes with Multimodal Large Language Models
Multimodal Large Language Models (MLLMs) have shown impressive capabilities in general tasks, yet they struggle significantly when tasked with reading indust...
Sep 4, 2026
Spurious Advantage Hidden in GRPO
Spurious Advantage Hidden in GRPO This paper investigates a hidden flaw in Group Relative Policy Optimization (GRPO), a popular reinforcement learning method...
Sep 4, 2026
More Criticism Does Not Make a Better Review: EquiReview-R
More Criticism Does Not Make a Better Review: EquiReview-R AI-assisted peer review is becoming common, but simply generating more feedback does not necessari...
Sep 4, 2026
The Dually Flat Geometry of Planning as Inference
The Dually Flat Geometry of Planning as Inference This paper introduces a new way to understand reinforcement learning (RL) by viewing it through the lens of...
Sep 4, 2026
FiMI Banking: A Sovereign Model for Indian Retail Banking
FiMI Banking: A Sovereign Model for Indian Retail Banking Banks require conversational AI that can handle sensitive financial tasks—such as KYC verification,...
Sep 3, 2026
Discriminative World Models for Web Agents
Discriminative World Models for Web Agents Recent web agents often use "world models" to plan their next moves.
Sep 3, 2026
SafeEvolve: Harness-Policy Co-Evolution from Agent Experience for Safety Alignment
SafeEvolve: Harness-Policy Co-Evolution from Agent Experience for Safety Alignment LLM-based agents often interact with the world through a "harness"—a colle...
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