Academic

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Academic · 1 min

Application-Driven Pedagogical Knowledge Optimization of Open-Source LLMs via Reinforcement Learning and Supervised Fine-Tuning

arXiv:2604.06385v1 Announce Type: new Abstract: We present an innovative multi-stage optimization strategy combining reinforcement learning (RL) and supervised fine-tuning (SFT) to enhance the pedagogical knowledge …

Navan Preet Singh, Xiaokun Wang, Anurag Garikipati, Madalina Ciobanu, Qingqing Mao, Ritankar Das

40 views Apr 9

Academic · 1 min

The Rhetoric of Machine Learning

arXiv:2604.06754v1 Announce Type: new Abstract: I examine the technology of machine learning from the perspective of rhetoric, which is simply the art of persuasion. Rather …

Robert C. Williamson

127 views Apr 9

Academic · 1 min

SubFLOT: Submodel Extraction for Efficient and Personalized Federated Learning via Optimal Transport

arXiv:2604.06631v1 Announce Type: new Abstract: Federated Learning (FL) enables collaborative model training while preserving data privacy, but its practical deployment is hampered by system and …

Zheng Jiang, Nan He, Yiming Chen, Lifeng Sun

71 views Apr 9

Academic · 1 min

Quality-preserving Model for Electronics Production Quality Tests Reduction

arXiv:2604.06451v1 Announce Type: new Abstract: Manufacturing test flows in high-volume electronics production are typically fixed during product development and executed unchanged on every unit, even …

Noufa Haneefa, Teddy Lazebnik, Einav Peretz-Andersson

74 views Apr 9

Academic · 1 min

STDec: Spatio-Temporal Stability Guided Decoding for dLLMs

arXiv:2604.06330v1 Announce Type: new Abstract: Diffusion Large Language Models (dLLMs) have achieved rapid progress, viewed as a promising alternative to the autoregressive paradigm. However, most …

Yuzhe Chen, Jiale Cao, Xuyang Liu, Jin Xie, Aiping Yang, Yanwei Pang

61 views Apr 9

Academic · 1 min

Distributed Interpretability and Control for Large Language Models

arXiv:2604.06483v1 Announce Type: new Abstract: Large language models that require multiple GPU cards to host are usually the most capable models. It is necessary to …

Dev Arpan Desai, Shaoyi Huang, Zining Zhu

48 views Apr 9

Academic · 1 min

TelcoAgent-Bench: A Multilingual Benchmark for Telecom AI Agents

arXiv:2604.06209v1 Announce Type: new Abstract: The integration of large language model (LLM) agents into telecom networks introduces new challenges, related to intent recognition, tool execution, …

Lina Bariah, Brahim Mefgouda, Farbod Tavakkoli, Enrique Molero, Louis Powell, Merouane Debbah

68 views Apr 9

Academic · 1 min

Optimal Rates for Pure {\varepsilon}-Differentially Private Stochastic Convex Optimization with Heavy Tails

arXiv:2604.06492v1 Announce Type: new Abstract: We study stochastic convex optimization (SCO) with heavy-tailed gradients under pure epsilon-differential privacy (DP). Instead of assuming a bound on …

Andrew Lowy

59 views Apr 9

Academic · 1 min

Learning to Interrupt in Language-based Multi-agent Communication

arXiv:2604.06452v1 Announce Type: new Abstract: Multi-agent systems using large language models (LLMs) have demonstrated impressive capabilities across various domains. However, current agent communication suffers from …

Danqing Wang, Da Yin, Ruta Desai, Lei Li, Asli Celikyilmaz, Ansong Ni

62 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

49 views Apr 9

Academic · 1 min

Drifting Fields are not Conservative

arXiv:2604.06333v1 Announce Type: new Abstract: Drifting models generate high-quality samples in a single forward pass by transporting generated samples toward the data distribution using a …

Leonard Franz, Sebastian Hoffmann, Georg Martius

54 views Apr 9

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

92 views Apr 9

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Academic

Application-Driven Pedagogical Knowledge Optimization of Open-Source LLMs via Reinforcement Learning and Supervised Fine-Tuning

The Rhetoric of Machine Learning

SubFLOT: Submodel Extraction for Efficient and Personalized Federated Learning via Optimal Transport

Quality-preserving Model for Electronics Production Quality Tests Reduction

STDec: Spatio-Temporal Stability Guided Decoding for dLLMs

Distributed Interpretability and Control for Large Language Models

TelcoAgent-Bench: A Multilingual Benchmark for Telecom AI Agents

Optimal Rates for Pure {\varepsilon}-Differentially Private Stochastic Convex Optimization with Heavy Tails

Learning to Interrupt in Language-based Multi-agent Communication

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

Drifting Fields are not Conservative

RAGEN-2: Reasoning Collapse in Agentic RL

JCG, PC

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