:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Mustafa, Akram, Naseem, Usman, Azghadi, Mostafa Rahimi
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	https://arxiv.org/abs/2504.08040
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Evaluating Hierarchical Clinical Document Classification Using Reasoning-Based LLMs
by: Mustafa, Akram, et al.
Published: (2025)

Fairness Evaluation and Inference Level Mitigation in LLMs
by: Nadeem, Afrozah, et al.
Published: (2025)

Steering Towards Fairness: Mitigating Political Bias in LLMs
by: Nadeem, Afrozah, et al.
Published: (2025)

Framing Political Bias in Multilingual LLMs Across Pakistani Languages
by: Nadeem, Afrozah, et al.
Published: (2025)

Reversal of Thought: Enhancing Large Language Models with Preference-Guided Reverse Reasoning Warm-up
by: Yuan, Jiahao, et al.
Published: (2024)

Bias Beyond Borders: Political Ideology Evaluation and Steering in Multilingual LLMs
by: Nadeem, Afrozah, et al.
Published: (2026)

MRG-R1: Reinforcement Learning for Clinically Aligned Medical Report Generation
by: Wang, Pengyu, et al.
Published: (2025)

Kardia-R1: Unleashing LLMs to Reason toward Understanding and Empathy for Emotional Support via Rubric-as-Judge Reinforcement Learning
by: Yuan, Jiahao, et al.
Published: (2025)

Flick: Few Labels Text Classification using K-Aware Intermediate Learning in Multi-Task Low-Resource Languages
by: Almutairi, Ali, et al.
Published: (2025)

Enhancing textual textbook question answering with large language models and retrieval augmented generation
by: Alawwad, Hessa Abdulrahman, et al.
Published: (2024)

Analyzing Political Bias in LLMs via Target-Oriented Sentiment Classification
by: Elbouanani, Akram, et al.
Published: (2025)

Analyzing mixed construction and demolition waste in material recovery facilities: evolution, challenges, and applications of computer vision and deep learning
by: Langley, Adrian, et al.
Published: (2024)

VITAL: A New Dataset for Benchmarking Pluralistic Alignment in Healthcare
by: Shetty, Anudeex, et al.
Published: (2025)

LLMs on a Budget? Say HOLA
by: Siddiqui, Zohaib Hasan, et al.
Published: (2025)

Do Personality Traits Interfere? Geometric Limitations of Steering in Large Language Models
by: Bhandari, Pranav, et al.
Published: (2026)

Can Argus Judge Them All? Comparing VLMs Across Domains
by: Joshi, Harsh, et al.
Published: (2025)

Pluralistic Alignment for Healthcare: A Role-Driven Framework
by: Zhong, Jiayou, et al.
Published: (2025)

ReflectDiffu:Reflect between Emotion-intent Contagion and Mimicry for Empathetic Response Generation via a RL-Diffusion Framework
by: Yuan, Jiahao, et al.
Published: (2024)

Can LLM Agents Maintain a Persona in Discourse?
by: Bhandari, Pranav, et al.
Published: (2025)

Medical Question Summarization with Entity-driven Contrastive Learning
by: Lu, Wenpeng, et al.
Published: (2023)

Modeling and Optimizing User Preferences in AI Copilots: A Comprehensive Survey and Taxonomy
by: Afzoon, Saleh, et al.
Published: (2025)

A Scalable Entity-Based Framework for Auditing Bias in LLMs
by: Elbouanani, Akram, et al.
Published: (2026)

Fine-Tuning LLMs for Reliable Medical Question-Answering Services
by: Anaissi, Ali, et al.
Published: (2024)

PRIME: Planning and Retrieval-Integrated Memory for Enhanced Reasoning
by: Tran, Hieu, et al.
Published: (2025)

Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key
by: Wang, Tianle, et al.
Published: (2026)

Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study
by: Ning, Xuefei, et al.
Published: (2024)

How Can Multimodal Remote Sensing Datasets Transform Classification via SpatialNet-ViT?
by: Kashyap, Gautam Siddharth, et al.
Published: (2025)

MSynFD: Multi-hop Syntax aware Fake News Detection
by: Xiao, Liang, et al.
Published: (2024)

VISPA: Pluralistic Alignment via Automatic Value Selection and Activation
by: Zheng, Shenyan, et al.
Published: (2026)

AFFormer: Adaptive Feature Fusion Transformer for V2X Cooperative Perception under Channel Impairments
by: Zhou, Xi, et al.
Published: (2026)

Can Post-Training Transform LLMs into Causal Reasoners?
by: Chen, Junqi, et al.
Published: (2026)

Can "AI" Be a Doctor? A Study of Empathy, Readability, and Alignment in Clinical LLMs
by: Barone, Mariano, et al.
Published: (2026)

Enhancing Reasoning Abilities of Small LLMs with Cognitive Alignment
by: Cai, Wenrui, et al.
Published: (2025)

CodeGraph: Enhancing Graph Reasoning of LLMs with Code
by: Cai, Qiaolong, et al.
Published: (2024)

Can Small Models Reason About Legal Documents? A Comparative Study
by: Vaddi, Snehit
Published: (2026)

Evaluating Multimodal Large Language Models on Educational Textbook Question Answering
by: Alawwad, Hessa A., et al.
Published: (2025)

CEA-LIST at CheckThat! 2025: Evaluating LLMs as Detectors of Bias and Opinion in Text
by: Elbouanani, Akram, et al.
Published: (2025)

Climbing the Ladder of Reasoning: What LLMs Can-and Still Can't-Solve after SFT?
by: Sun, Yiyou, et al.
Published: (2025)

Truth, Trust, and Trouble: Medical AI on the Edge
by: Azeez, Mohammad Anas, et al.
Published: (2025)

Can Rule-Based Insights Enhance LLMs for Radiology Report Classification? Introducing the RadPrompt Methodology
by: Fytas, Panagiotis, et al.
Published: (2024)