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Academic · 1 min

dTRPO: Trajectory Reduction in Policy Optimization of Diffusion Large Language Models

arXiv:2603.18806v1 Announce Type: new Abstract: Diffusion Large Language Models (dLLMs) introduce a new paradigm for language generation, which in turn presents new challenges for aligning …

Wenxuan Zhang, Lemeng Wu, Changsheng Zhao, Ernie Chang, Mingchen Zhuge, Zechun Liu, Andy Su, Hanxian Huang, Jun Chen, Chong Zhou, Raghuraman Krishnamoorthi, Vikas Chandra, Mohamed Elhoseiny, Wei Wen

109 views Mar 20

Academic · 1 min

CORE: Robust Out-of-Distribution Detection via Confidence and Orthogonal Residual Scoring

arXiv:2603.18290v1 Announce Type: new Abstract: Out-of-distribution (OOD) detection is essential for deploying deep learning models reliably, yet no single method performs consistently across architectures and …

Jin Mo Yang, Hyung-Sin Kim, Saewoong Bahk

8 views Mar 20

Academic · 1 min

A Computationally Efficient Learning of Artificial Intelligence System Reliability Considering Error Propagation

arXiv:2603.18201v1 Announce Type: new Abstract: Artificial Intelligence (AI) systems are increasingly prominent in emerging smart cities, yet their reliability remains a critical concern. These systems …

Fenglian Pan, Yinwei Zhang, Yili Hong, Larry Head, Jian Liu

53 views Mar 20

Academic · 1 min

A Concept is More Than a Word: Diversified Unlearning in Text-to-Image Diffusion Models

arXiv:2603.18767v1 Announce Type: new Abstract: Concept unlearning has emerged as a promising direction for reducing the risks of harmful content generation in text-to-image diffusion models …

Duc Hao Pham, Van Duy Truong, Duy Khanh Dinh, Tien Cuong Nguyen, Dien Hy Ngo, Tuan Anh Bui

26 views Mar 20

Academic · 1 min

MANAR: Memory-augmented Attention with Navigational Abstract Conceptual Representation

arXiv:2603.18676v1 Announce Type: new Abstract: MANAR (Memory-augmented Attention with Navigational Abstract Conceptual Representation), contextualization layer generalizes standard multi-head attention (MHA) by instantiating the principles of …

Zuher Jahshan, Ben Ben Ishay, Leonid Yavits

12 views Mar 20

Academic · 1 min

Beyond Accuracy: An Explainability-Driven Analysis of Harmful Content Detection

arXiv:2603.18015v1 Announce Type: new Abstract: Although automated harmful content detection systems are frequently used to monitor online platforms, moderators and end users frequently cannot understand …

Trishita Dhara, Siddhesh Sheth

28 views Mar 20

Academic · 1 min

Thinking with Constructions: A Benchmark and Policy Optimization for Visual-Text Interleaved Geometric Reasoning

arXiv:2603.18662v1 Announce Type: new Abstract: Geometric reasoning inherently requires "thinking with constructions" -- the dynamic manipulation of visual aids to bridge the gap between problem …

Haokun Zhao, Wanshi Xu, Haidong Yuan, Songjun Cao, Long Ma, Yanghua Xiao

15 views Mar 20

Academic · 1 min

Learned but Not Expressed: Capability-Expression Dissociation in Large Language Models

arXiv:2603.18013v1 Announce Type: new Abstract: Large language models (LLMs) demonstrate the capacity to reconstruct and trace learned content from their training data under specific elicitation …

Toshiyuki Shigemura

20 views Mar 20

Academic · 1 min

FaithSteer-BENCH: A Deployment-Aligned Stress-Testing Benchmark for Inference-Time Steering

arXiv:2603.18329v1 Announce Type: new Abstract: Inference-time steering is widely regarded as a lightweight and parameter-free mechanism for controlling large language model (LLM) behavior, and prior …

Zikang Ding, Qiying Hu, Yi Zhang, Hongji Li, Junchi Yao, Hongbo Liu, Lijie Hu

11 views Mar 20

Academic · 1 min

From Weak Cues to Real Identities: Evaluating Inference-Driven De-Anonymization in LLM Agents

arXiv:2603.18382v1 Announce Type: new Abstract: Anonymization is widely treated as a practical safeguard because re-identifying anonymous records was historically costly, requiring domain expertise, tailored algorithms, …

Myeongseob Ko, Jihyun Jeong, Sumiran Singh Thakur, Gyuhak Kim, Ruoxi Jia

7 views Mar 20

Academic · 1 min

MineDraft: A Framework for Batch Parallel Speculative Decoding

arXiv:2603.18016v1 Announce Type: new Abstract: Speculative decoding (SD) accelerates large language model inference by using a smaller draft model to propose draft tokens that are …

Zhenwei Tang, Arun Verma, Zijian Zhou, Zhaoxuan Wu, Alok Prakash, Daniela Rus, Bryan Kian Hsiang Low

36 views Mar 20

Academic · 1 min

How LLMs Distort Our Written Language

arXiv:2603.18161v1 Announce Type: new Abstract: Large language models (LLMs) are used by over a billion people globally, most often to assist with writing. In this …

Marwa Abdulhai, Isadora White, Yanming Wan, Ibrahim Qureshi, Joel Leibo, Max Kleiman-Weiner, Natasha Jaques

19 views Mar 20

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Articles

dTRPO: Trajectory Reduction in Policy Optimization of Diffusion Large Language Models

CORE: Robust Out-of-Distribution Detection via Confidence and Orthogonal Residual Scoring

A Computationally Efficient Learning of Artificial Intelligence System Reliability Considering Error Propagation

A Concept is More Than a Word: Diversified Unlearning in Text-to-Image Diffusion Models

MANAR: Memory-augmented Attention with Navigational Abstract Conceptual Representation

Beyond Accuracy: An Explainability-Driven Analysis of Harmful Content Detection

Thinking with Constructions: A Benchmark and Policy Optimization for Visual-Text Interleaved Geometric Reasoning

Learned but Not Expressed: Capability-Expression Dissociation in Large Language Models

FaithSteer-BENCH: A Deployment-Aligned Stress-Testing Benchmark for Inference-Time Steering

From Weak Cues to Real Identities: Evaluating Inference-Driven De-Anonymization in LLM Agents

MineDraft: A Framework for Batch Parallel Speculative Decoding

How LLMs Distort Our Written Language

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