Academic

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Academic · 1 min

Expert-Choice Routing Enables Adaptive Computation in Diffusion Language Models

arXiv:2604.01622v1 Announce Type: new Abstract: Diffusion language models (DLMs) enable parallel, non-autoregressive text generation, yet existing DLM mixture-of-experts (MoE) models inherit token-choice (TC) routing from …

Shuibai Zhang, Caspian Zhuang, Chihan Cui, Zhihan Yang, Fred Zhangzhi Peng, Yanxin Zhang, Haoyue Bai, Zack Jia, Yang Zhou, Guanhua Chen, Ming Liu

7 views Apr 3

Academic · 1 min

Cognitive Energy Modeling for Neuroadaptive Human-Machine Systems using EEG and WGAN-GP

arXiv:2604.01653v1 Announce Type: new Abstract: Electroencephalography (EEG) provides a non-invasive insight into the brain's cognitive and emotional dynamics. However, modeling how these states evolve in …

Sriram Sattiraju, Vaibhav Gollapalli, Aryan Shah, Timothy McMahan

18 views Apr 3

Academic · 1 min

The Chronicles of RiDiC: Generating Datasets with Controlled Popularity Distribution for Long-form Factuality Evaluation

arXiv:2604.00019v1 Announce Type: cross Abstract: We present a configurable pipeline for generating multilingual sets of entities with specified characteristics, such as domain, geographical location and …

Pavel Braslavski, Dmitrii Iarosh, Nikita Sushko, Andrey Sakhovskiy, Vasily Konovalov, Elena Tutubalina, Alexander Panchenko

6 views Apr 3

Academic · 1 min

Model Merging via Data-Free Covariance Estimation

arXiv:2604.01329v1 Announce Type: new Abstract: Model merging provides a way of cheaply combining individual models to produce a model that inherits each individual's capabilities. While …

Marawan Gamal Abdel Hameed, Derek Tam, Pascal Jr Tikeng Notsawo, Colin Raffel, Guillaume Rabusseau

13 views Apr 3

Academic · 1 min

MiCA Learns More Knowledge Than LoRA and Full Fine-Tuning

arXiv:2604.01694v1 Announce Type: new Abstract: Minor Component Adaptation (MiCA) is a novel parameter-efficient fine-tuning method for large language models that focuses on adapting underutilized subspaces …

Sten R\"udiger, Sebastian Raschka

9 views Apr 3

Academic · 1 min

Residuals-based Offline Reinforcement Learning

arXiv:2604.01378v1 Announce Type: new Abstract: Offline reinforcement learning (RL) has received increasing attention for learning policies from previously collected data without interaction with the real …

Qing Zhu, Xian Yu

11 views Apr 3

Academic · 1 min

Polysemanticity or Polysemy? Lexical Identity Confounds Superposition Metrics

arXiv:2604.00443v1 Announce Type: new Abstract: If the same neuron activates for both "lender" and "riverside," standard metrics attribute the overlap to superposition--the neuron must be …

Iyad Ait Hou, Rebecca Hwa

11 views Apr 3

Academic · 1 min

CuTeGen: An LLM-Based Agentic Framework for Generation and Optimization of High-Performance GPU Kernels using CuTe

arXiv:2604.01489v1 Announce Type: new Abstract: High-performance GPU kernels are critical to modern machine learning systems, yet developing efficient implementations remains a challenging, expert-driven process due …

Tara Saba, Anne Ouyang, Xujie Si, Fan Long

20 views Apr 3

Academic · 1 min

REM-CTX: Automated Peer Review via Reinforcement Learning with Auxiliary Context

arXiv:2604.00248v1 Announce Type: new Abstract: Most automated peer review systems rely on textual manuscript content alone, leaving visual elements such as figures and external scholarly …

Pawin Taechoyotin, Daniel E. Acuna

5 views Apr 3

Academic · 1 min

FourierMoE: Fourier Mixture-of-Experts Adaptation of Large Language Models

arXiv:2604.01762v1 Announce Type: new Abstract: Parameter-efficient fine-tuning (PEFT) has emerged as a crucial paradigm for adapting large language models (LLMs) under constrained computational budgets. However, …

Juyong Jiang, Fan Wang, Hong Qi, Sunghun Kim, Jing Tang

33 views Apr 3

Academic · 1 min

DISCO-TAB: A Hierarchical Reinforcement Learning Framework for Privacy-Preserving Synthesis of Complex Clinical Data

arXiv:2604.01481v1 Announce Type: new Abstract: The development of robust clinical decision support systems is frequently impeded by the scarcity of high-fidelity, privacy-preserving biomedical data. While …

Arshia Ilaty, Hossein Shirazi, Amir Rahmani, Hajar Homayouni

6 views Apr 3

Academic · 1 min

HippoCamp: Benchmarking Contextual Agents on Personal Computers

arXiv:2604.01221v1 Announce Type: new Abstract: We present HippoCamp, a new benchmark designed to evaluate agents' capabilities on multimodal file management. Unlike existing agent benchmarks that …

Zhe Yang, Shulin Tian, Kairui Hu, Shuai Liu, Hoang-Nhat Nguyen, Yichi Zhang, Zujin Guo, Mengying Yu, Zinan Zhang, Jingkang Yang, Chen Change Loy, Ziwei Liu

16 views Apr 3

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Academic

Expert-Choice Routing Enables Adaptive Computation in Diffusion Language Models

Cognitive Energy Modeling for Neuroadaptive Human-Machine Systems using EEG and WGAN-GP

The Chronicles of RiDiC: Generating Datasets with Controlled Popularity Distribution for Long-form Factuality Evaluation

Model Merging via Data-Free Covariance Estimation

MiCA Learns More Knowledge Than LoRA and Full Fine-Tuning

Residuals-based Offline Reinforcement Learning

Polysemanticity or Polysemy? Lexical Identity Confounds Superposition Metrics

CuTeGen: An LLM-Based Agentic Framework for Generation and Optimization of High-Performance GPU Kernels using CuTe

REM-CTX: Automated Peer Review via Reinforcement Learning with Auxiliary Context

FourierMoE: Fourier Mixture-of-Experts Adaptation of Large Language Models

DISCO-TAB: A Hierarchical Reinforcement Learning Framework for Privacy-Preserving Synthesis of Complex Clinical Data

HippoCamp: Benchmarking Contextual Agents on Personal Computers

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