:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Enze, Wang, Jiaying, Xiao, Mengxi, Liu, Jifei, Kuang, Ziyan, Dong, Rui, Dong, Eric, Ananiadou, Sophia, Peng, Min, Xie, Qianqian
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2510.09116
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MentraSuite: Post-Training Large Language Models for Mental Health Reasoning and Assessment
by: Xiao, Mengxi, et al.
Published: (2025)

MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models
by: Yang, Kailai, et al.
Published: (2023)

Towards Interpretable Mental Health Analysis with Large Language Models
by: Yang, Kailai, et al.
Published: (2023)

From Scores to Skills: A Cognitive Diagnosis Framework for Evaluating Financial Large Language Models
by: Kuang, Ziyan, et al.
Published: (2025)

LongDocFACTScore: Evaluating the Factuality of Long Document Abstractive Summarisation
by: Bishop, Jennifer A, et al.
Published: (2023)

Appear2Meaning: A Cross-Cultural Benchmark for Structured Cultural Metadata Inference from Images
by: Jiang, Yuechen, et al.
Published: (2026)

Are Large Language Models True Healthcare Jacks-of-All-Trades? Benchmarking Across Health Professions Beyond Physician Exams
by: Luo, Zheheng, et al.
Published: (2024)

Factual consistency evaluation of summarization in the Era of large language models
by: Luo, Zheheng, et al.
Published: (2024)

The Lay Person's Guide to Biomedicine: Orchestrating Large Language Models
by: Luo, Zheheng, et al.
Published: (2024)

HealMe: Harnessing Cognitive Reframing in Large Language Models for Psychotherapy
by: Xiao, Mengxi, et al.
Published: (2024)

MMAFFBen: A Multilingual and Multimodal Affective Analysis Benchmark for Evaluating LLMs and VLMs
by: Liu, Zhiwei, et al.
Published: (2025)

SiMing-Bench: Evaluating Procedural Correctness from Continuous Interactions in Clinical Skill Videos
by: Huang, Xiyang, et al.
Published: (2026)

NOMAD: A Multi-Agent LLM System for UML Class Diagram Generation from Natural Language Requirements
by: Giannouris, Polydoros, et al.
Published: (2025)

Retrieval-augmented Large Language Models for Financial Time Series Forecasting
by: Xiao, Mengxi, et al.
Published: (2025)

RAAR: Retrieval Augmented Agentic Reasoning for Cross-Domain Misinformation Detection
by: Liu, Zhiwei, et al.
Published: (2026)

MoodAngels: A Retrieval-augmented Multi-agent Framework for Psychiatry Diagnosis
by: Xiao, Mengxi, et al.
Published: (2025)

Selective Preference Optimization via Token-Level Reward Function Estimation
by: Yang, Kailai, et al.
Published: (2024)

MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models
by: Yang, Kailai, et al.
Published: (2024)

No Language is an Island: Unifying Chinese and English in Financial Large Language Models, Instruction Data, and Benchmarks
by: Hu, Gang, et al.
Published: (2024)

EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis
by: Liu, Zhiwei, et al.
Published: (2024)

MisSpans: Fine-Grained False Span Identification in Cross-Domain Fake News
by: Liu, Zhiwei, et al.
Published: (2026)

XCR-Bench: A Multi-Task Benchmark for Evaluating Cultural Reasoning in LLMs
by: Kabir, Mohsinul, et al.
Published: (2026)

FMDLlama: Financial Misinformation Detection based on Large Language Models
by: Liu, Zhiwei, et al.
Published: (2024)

Plutus: Benchmarking Large Language Models in Low-Resource Greek Finance
by: Peng, Xueqing, et al.
Published: (2025)

Break the Checkbox: Challenging Closed-Style Evaluations of Cultural Alignment in LLMs
by: Kabir, Mohsinul, et al.
Published: (2025)

Disentangled VAD Representations via a Variational Framework for Political Stance Detection
by: Xu, Beiyu, et al.
Published: (2025)

Plan Then Retrieve: Reinforcement Learning-Guided Complex Reasoning over Knowledge Graphs
by: Song, Yanlin, et al.
Published: (2025)

CODE-DITING: A Reasoning-Based Metric for Functional Alignment in Code Evaluation
by: Yang, Guang, et al.
Published: (2025)

Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models
by: Yu, Zeping, et al.
Published: (2025)

Interpreting Arithmetic Mechanism in Large Language Models through Comparative Neuron Analysis
by: Yu, Zeping, et al.
Published: (2024)

How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning
by: Yu, Zeping, et al.
Published: (2024)

Understanding Multimodal LLMs: the Mechanistic Interpretability of Llava in Visual Question Answering
by: Yu, Zeping, et al.
Published: (2024)

Neuron-Level Knowledge Attribution in Large Language Models
by: Yu, Zeping, et al.
Published: (2023)

Understanding and Mitigating Gender Bias in LLMs via Interpretable Neuron Editing
by: Yu, Zeping, et al.
Published: (2025)

Locate-then-Merge: Neuron-Level Parameter Fusion for Mitigating Catastrophic Forgetting in Multimodal LLMs
by: Yu, Zeping, et al.
Published: (2025)

RAEmoLLM: Retrieval Augmented LLMs for Cross-Domain Misinformation Detection Using In-Context Learning Based on Emotional Information
by: Liu, Zhiwei, et al.
Published: (2024)

FinBen: A Holistic Financial Benchmark for Large Language Models
by: Xie, Qianqian, et al.
Published: (2024)

HiRAS: A Hierarchical Multi-Agent Framework for Paper-to-Code Generation and Execution
by: Hong, Hanhua, et al.
Published: (2026)

Semantic Label Drift in Cross-Cultural Translation
by: Kabir, Mohsinul, et al.
Published: (2025)

Dólares or Dollars? Unraveling the Bilingual Prowess of Financial LLMs Between Spanish and English
by: Zhang, Xiao, et al.
Published: (2024)