Academic

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Academic · 1 min

RAGEN-2: Reasoning Collapse in Agentic RL

arXiv:2604.06268v1 Announce Type: new Abstract: RL training of multi-turn LLM agents is inherently unstable, and reasoning quality directly determines task performance. Entropy is widely used …

Zihan Wang, Chi Gui, Xing Jin, Qineng Wang, Licheng Liu, Kangrui Wang, Shiqi Chen, Linjie Li, Zhengyuan Yang, Pingyue Zhang, Yiping Lu, Jiajun Wu, Li Fei-Fei, Lijuan Wang, Yejin Choi, Manling Li

94 views Apr 9

Academic · 1 min

$S^3$: Stratified Scaling Search for Test-Time in Diffusion Language Models

arXiv:2604.06260v1 Announce Type: new Abstract: Test-time scaling investigates whether a fixed diffusion language model (DLM) can generate better outputs when given more inference compute, without …

Ahsan Bilal, Muhammad Ahmed Mohsin, Muhammad Umer, Asad Aali, Muhammad Usman Khanzada, Muhammad Usman Rafique, Zihao He, Emily Fox, Dean F. Hougen

60 views Apr 9

Academic · 1 min

A Comparative Study of Demonstration Selection for Practical Large Language Models-based Next POI Prediction

arXiv:2604.06207v1 Announce Type: new Abstract: This paper investigates demonstration selection strategies for predicting a user's next point-of-interest (POI) using large language models (LLMs), aiming to …

Ryo Nishida, Masayuki Kawarada, Tatsuya Ishigaki, Hiroya Takamura, Masaki Onishi

51 views Apr 9

Academic · 1 min

Spectral Edge Dynamics Reveal Functional Modes of Learning

arXiv:2604.06256v1 Announce Type: new Abstract: Training dynamics during grokking concentrate along a small number of dominant update directions -- the spectral edge -- which reliably …

Yongzhong Xu

57 views Apr 9

Academic · 1 min

Bridging Theory and Practice in Crafting Robust Spiking Reservoirs

arXiv:2604.06395v1 Announce Type: new Abstract: Spiking reservoir computing provides an energy-efficient approach to temporal processing, but reliably tuning reservoirs to operate at the edge-of-chaos is …

Ruggero Freddi, Nicolas Seseri, Diana Nigrisoli, Alessio Basti

75 views Apr 9

Academic · 1 min

VLMShield: Efficient and Robust Defense of Vision-Language Models against Malicious Prompts

arXiv:2604.06502v1 Announce Type: new Abstract: Vision-Language Models (VLMs) face significant safety vulnerabilities from malicious prompt attacks due to weakened alignment during visual integration. Existing defenses …

Peigui Qi, Kunsheng Tang, Yanpu Yu, Jialin Wu, Yide Song, Wenbo Zhou, Zhicong Huang, Cheng Hong, Weiming Zhang, Nenghai Yu

82 views Apr 9

Academic · 1 min

Stochastic Gradient Descent in the Saddle-to-Saddle Regime of Deep Linear Networks

arXiv:2604.06366v1 Announce Type: new Abstract: Deep linear networks (DLNs) are used as an analytically tractable model of the training dynamics of deep neural networks. While …

Guillaume Corlouer, Avi Semler, Alexander Strang, Alexander Gietelink Oldenziel

67 views Apr 9

Academic · 1 min

The Illusion of Superposition? A Principled Analysis of Latent Thinking in Language Models

arXiv:2604.06374v1 Announce Type: new Abstract: Latent reasoning via continuous chain-of-thoughts (Latent CoT) has emerged as a promising alternative to discrete CoT reasoning. Operating in continuous …

Michael Rizvi-Martel, Guillaume Rabusseau, Marius Mosbach

50 views Apr 9

Academic · 1 min

Distributional Open-Ended Evaluation of LLM Cultural Value Alignment Based on Value Codebook

arXiv:2604.06210v1 Announce Type: new Abstract: As LLMs are globally deployed, aligning their cultural value orientations is critical for safety and user engagement. However, existing benchmarks …

Jaehyeok Lee, Xiaoyuan Yi, Jing Yao, Hyunjin Hwang, Roy Ka-Wei Lee, Xing Xie, JinYeong Bak

76 views Apr 9

Academic · 1 min

A Severity-Based Curriculum Learning Strategy for Arabic Medical Text Generation

arXiv:2604.06365v1 Announce Type: new Abstract: Arabic medical text generation is increasingly needed to help users interpret symptoms and access general health guidance in their native …

Ahmed Alansary, Molham Mohamed, Ali Hamdi

70 views Apr 9

Academic · 1 min

The Depth Ceiling: On the Limits of Large Language Models in Discovering Latent Planning

arXiv:2604.06427v1 Announce Type: new Abstract: The viability of chain-of-thought (CoT) monitoring hinges on models being unable to reason effectively in their latent representations. Yet little …

Yi Xu, Philipp Jettkant, Laura Ruis

51 views Apr 9

Academic · 1 min

Invisible Influences: Investigating Implicit Intersectional Biases through Persona Engineering in Large Language Models

arXiv:2604.06213v1 Announce Type: new Abstract: Large Language Models (LLMs) excel at human-like language generation but often embed and amplify implicit, intersectional biases, especially under persona-driven …

Nandini Arimanda, Achyuth Mukund, Sakthi Balan Muthiah, Rajesh Sharma

41 views Apr 9

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Academic

RAGEN-2: Reasoning Collapse in Agentic RL

$S^3$: Stratified Scaling Search for Test-Time in Diffusion Language Models

A Comparative Study of Demonstration Selection for Practical Large Language Models-based Next POI Prediction

Spectral Edge Dynamics Reveal Functional Modes of Learning

Bridging Theory and Practice in Crafting Robust Spiking Reservoirs

VLMShield: Efficient and Robust Defense of Vision-Language Models against Malicious Prompts

Stochastic Gradient Descent in the Saddle-to-Saddle Regime of Deep Linear Networks

The Illusion of Superposition? A Principled Analysis of Latent Thinking in Language Models

Distributional Open-Ended Evaluation of LLM Cultural Value Alignment Based on Value Codebook

A Severity-Based Curriculum Learning Strategy for Arabic Medical Text Generation

The Depth Ceiling: On the Limits of Large Language Models in Discovering Latent Planning

Invisible Influences: Investigating Implicit Intersectional Biases through Persona Engineering in Large Language Models

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