Academic

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Academic · 1 min

PERMA: Benchmarking Personalized Memory Agents via Event-Driven Preference and Realistic Task Environments

arXiv:2603.23231v1 Announce Type: new Abstract: Empowering large language models with long-term memory is crucial for building agents that adapt to users' evolving needs. However, prior …

Shuochen Liu, Junyi Zhu, Long Shu, Junda Lin, Yuhao Chen, Haotian Zhang, Chao Zhang, Derong Xu, Jia Li, Bo Tang, Zhiyu Li, Feiyu Xiong, Enhong Chen, Tong Xu

4 views Mar 25

Academic · 1 min

Functional Component Ablation Reveals Specialization Patterns in Hybrid Language Model Architectures

arXiv:2603.22473v1 Announce Type: new Abstract: Hybrid language models combining attention with state space models (SSMs) or linear attention offer improved efficiency, but whether both components …

Hector Borobia, Elies Segu\'i-Mas, Guillermina Tormo-Carb\'o

9 views Mar 25

Academic · 1 min

Synthetic or Authentic? Building Mental Patient Simulators from Longitudinal Evidence

arXiv:2603.22704v1 Announce Type: new Abstract: Patient simulation is essential for developing and evaluating mental health dialogue systems. As most existing approaches rely on snapshot-style prompts …

Baihan Li, Bingrui Jin, Kunyao Lan, Ming Wang, Mengyue Wu

19 views Mar 25

Academic · 1 min

Dynamical Systems Theory Behind a Hierarchical Reasoning Model

arXiv:2603.22871v1 Announce Type: new Abstract: Current large language models (LLMs) primarily rely on linear sequence generation and massive parameter counts, yet they severely struggle with …

Vasiliy A. Es'kin, Mikhail E. Smorkalov

15 views Mar 25

Academic · 1 min

TIPS: Turn-Level Information-Potential Reward Shaping for Search-Augmented LLMs

arXiv:2603.22293v1 Announce Type: new Abstract: Search-augmented large language models (LLMs) trained with reinforcement learning (RL) have achieved strong results on open-domain question answering (QA), but …

Yutao Xie, Nathaniel Thomas, Nicklas Hansen, Yang Fu, Li Erran Li, Xiaolong Wang

6 views Mar 25

Academic · 1 min

Minibal: Balanced Game-Playing Without Opponent Modeling

arXiv:2603.23059v1 Announce Type: new Abstract: Recent advances in game AI, such as AlphaZero and Ath\'enan, have achieved superhuman performance across a wide range of board …

Quentin Cohen-Solal, Tristan Cazenave

15 views Mar 25

Academic · 1 min

LLM-guided headline rewriting for clickability enhancement without clickbait

arXiv:2603.22459v1 Announce Type: new Abstract: Enhancing reader engagement while preserving informational fidelity is a central challenge in controllable text generation for news media. Optimizing news …

Yehudit Aperstein, Linoy Halifa, Sagiv Bar, Alexander Apartsin

11 views Mar 25

Academic · 1 min

Less is More: Adapting Text Embeddings for Low-Resource Languages with Small Scale Noisy Synthetic Data

arXiv:2603.22290v1 Announce Type: new Abstract: Low-resource languages (LRLs) often lack high-quality, large-scale datasets for training effective text embedding models, hindering their application in tasks like …

Zaruhi Navasardyan, Spartak Bughdaryan, Bagrat Minasyan, Hrant Davtyan

16 views Mar 25

Academic · 1 min

PRISM: A Dual View of LLM Reasoning through Semantic Flow and Latent Computation

arXiv:2603.22754v1 Announce Type: new Abstract: Large language models (LLMs) solve complex problems by generating multi-step reasoning traces. Yet these traces are typically analyzed from only …

Ruidi Chang, Jiawei Zhou, Hanjie Chen

43 views Mar 25

Academic · 1 min

CLiGNet: Clinical Label-Interaction Graph Network for Medical Specialty Classification from Clinical Transcriptions

arXiv:2603.22752v1 Announce Type: new Abstract: Automated classification of clinical transcriptions into medical specialties is essential for routing, coding, and clinical decision support, yet prior work …

Pronob Kumar Barman, Pronoy Kumar Barman

7 views Mar 25

Academic · 1 min

Detecting Non-Membership in LLM Training Data via Rank Correlations

arXiv:2603.22707v1 Announce Type: new Abstract: As large language models (LLMs) are trained on increasingly vast and opaque text corpora, determining which data contributed to training …

Pranav Shetty, Mirazul Haque, Zhiqiang Ma, Xiaomo Liu

24 views Mar 25

Academic · 1 min

Intelligence Inertia: Physical Principles and Applications

arXiv:2603.22347v1 Announce Type: new Abstract: While Landauer's principle establishes the fundamental thermodynamic floor for information erasure and Fisher Information provides a metric for local curvature …

Jipeng Han

9 views Mar 25

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Academic

PERMA: Benchmarking Personalized Memory Agents via Event-Driven Preference and Realistic Task Environments

Functional Component Ablation Reveals Specialization Patterns in Hybrid Language Model Architectures

Synthetic or Authentic? Building Mental Patient Simulators from Longitudinal Evidence

Dynamical Systems Theory Behind a Hierarchical Reasoning Model

TIPS: Turn-Level Information-Potential Reward Shaping for Search-Augmented LLMs

Minibal: Balanced Game-Playing Without Opponent Modeling

LLM-guided headline rewriting for clickability enhancement without clickbait

Less is More: Adapting Text Embeddings for Low-Resource Languages with Small Scale Noisy Synthetic Data

PRISM: A Dual View of LLM Reasoning through Semantic Flow and Latent Computation

CLiGNet: Clinical Label-Interaction Graph Network for Medical Specialty Classification from Clinical Transcriptions

Detecting Non-Membership in LLM Training Data via Rank Correlations

Intelligence Inertia: Physical Principles and Applications

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