activity
20242026
most citedMoCFL: Mobile Cluster Federated Learning Framework for Highly Dynamic Network

37 citations · 40 across the 15 of their papers we have counts for

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13 papers · 1 filter

cs.CL2026

PersoDPO: Scalable Preference Optimization for Instruction-Adherent, Persona-Grounded Dialogue via Multi-LLM Evaluation

Saleh Afzoon, MohammadHossein Ahmadi, Usman Naseem +1

Personalization and contextual coherence are two essential components in building effective persona-grounded dialogue systems. These aspects play a crucial role in enhancing user e…

cs.CL2025

Kardia-R1: Unleashing LLMs to Reason toward Understanding and Empathy for Emotional Support via Rubric-as-Judge Reinforcement Learning

Jiahao Yuan, Zhiqing Cui, Hanqing Wang +3

As web platforms evolve towards greater personalization and emotional complexity, conversational agents must transcend superficial empathy to demonstrate identity-aware emotional r…

cs.CL2025

LLM-Based Multi-Task Bangla Hate Speech Detection: Type, Severity, and Target

Md Arid Hasan, Firoj Alam, Md Fahad Hossain +2

Online social media platforms are central to everyday communication and information seeking. While these platforms serve positive purposes, they also provide fertile ground for the…

cs.CL2025

Pluralistic Alignment for Healthcare: A Role-Driven Framework

Jiayou Zhong, Anudeex Shetty, Chao Jia +2

As large language models are increasingly deployed in sensitive domains such as healthcare, ensuring their outputs reflect the diverse values and perspectives held across populatio…

cs.CL2025

Evaluating Hierarchical Clinical Document Classification Using Reasoning-Based LLMs

Akram Mustafa, Usman Naseem, Mostafa Rahimi Azghadi

This study evaluates how well large language models (LLMs) can classify ICD-10 codes from hospital discharge summaries, a critical but error-prone task in healthcare. Using 1,500 s…

cs.CL2025

Can Pruning Improve Reasoning? Revisiting Long-CoT Compression with Capability in Mind for Better Reasoning

Shangziqi Zhao, Jiahao Yuan, Jinyang Wu +3

Long chain-of-thought (Long-CoT) reasoning improves accuracy in LLMs, yet its verbose, self-reflective style often hinders effective distillation into small language models (SLMs).…