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Daily Papers

byAK and the research community

May 16

Submitted by

zhiyuanhucs

Beyond 'Aha!': Toward Systematic Meta-Abilities Alignment in Large Reasoning Models

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8 authors

1

Submitted by

jinheon

System Prompt Optimization with Meta-Learning

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3 authors

1

Submitted by

SiyuanH

EnerVerse-AC: Envisioning Embodied Environments with Action Condition

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11 authors

Submitted by

Seongyun

The CoT Encyclopedia: Analyzing, Predicting, and Controlling how a Reasoning Model will Think

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12 authors

1

Submitted by

SiyuanH

EWMBench: Evaluating Scene, Motion, and Semantic Quality in Embodied World Models

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8 authors

Submitted by

ryanzhangfan

End-to-End Vision Tokenizer Tuning

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8 authors

1

Submitted by

Jerrycool

MLE-Dojo: Interactive Environments for Empowering LLM Agents in Machine Learning Engineering

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11 authors

1

Submitted by

Tigerph

WorldPM: Scaling Human Preference Modeling

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20 authors

Submitted by

adarshxs

Achieving Tokenizer Flexibility in Language Models through Heuristic Adaptation and Supertoken Learning

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4 authors

1

Submitted by

intchous

Style Customization of Text-to-Vector Generation with Image Diffusion Priors

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3 authors

2

Submitted by

swarnaNLP

J1: Incentivizing Thinking in LLM-as-a-Judge via Reinforcement Learning

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7 authors

Submitted by

Jiafei1224

PointArena: Probing Multimodal Grounding Through Language-Guided Pointing

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15 authors

Submitted by

ZehanWang

Depth Anything with Any Prior

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7 authors

Submitted by

Warrieryes

OpenThinkIMG: Learning to Think with Images via Visual Tool Reinforcement Learning

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11 authors

Submitted by

csgaobb

AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection

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10 authors

Submitted by

HeverLaw

ReSurgSAM2: Referring Segment Anything in Surgical Video via Credible Long-term Tracking

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7 authors

1

Submitted by

sayakpaul

Exploring the Deep Fusion of Large Language Models and Diffusion Transformers for Text-to-Image Synthesis

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5 authors

Submitted by

nielsr

Parallel Scaling Law for Language Models

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8 authors

Submitted by

csgaobb

MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning

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1 authors

1

Submitted by

csgaobb

Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt

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1 authors

1

Submitted by

csgaobb

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation

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5 authors

1