Copertina

FinTrust: A Comprehensive Benchmark of Trustworthiness Evaluation in Finance Domain

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Hu, Tiansheng, Hu, Tongyan, Bai, Liuyang, Zhao, Yilun, Cohan, Arman, Zhao, Chen
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

FinLFQA: Evaluating Attributed Text Generation of LLMs in Financial Long-Form Question Answering
di: Long, Yitao, et al.
Pubblicazione: (2025)

SAGE: Benchmarking and Improving Retrieval for Deep Research Agents
di: Hu, Tiansheng, et al.
Pubblicazione: (2026)

FinDVer: Explainable Claim Verification over Long and Hybrid-Content Financial Documents
di: Zhao, Yilun, et al.
Pubblicazione: (2024)

FinanceMath: Knowledge-Intensive Math Reasoning in Finance Domains
di: Zhao, Yilun, et al.
Pubblicazione: (2023)

SciRAG: Adaptive, Citation-Aware, and Outline-Guided Retrieval and Synthesis for Scientific Literature
di: Ding, Hang, et al.
Pubblicazione: (2025)

Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization
di: Liu, Yixin, et al.
Pubblicazione: (2023)

MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree Search
di: Hu, Yunhai, et al.
Pubblicazione: (2025)

Fin-Bias: Comprehensive Evaluation for LLM Decision-Making under human bias in Finance Domain
di: Hu, Xiaoyu, et al.
Pubblicazione: (2026)

Observable Propagation: Uncovering Feature Vectors in Transformers
di: Dunefsky, Jacob, et al.
Pubblicazione: (2023)

On Evaluating LLM Alignment by Evaluating LLMs as Judges
di: Liu, Yixin, et al.
Pubblicazione: (2025)

MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models
di: Zhang, Yichi, et al.
Pubblicazione: (2024)

Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models
di: Riddell, Martin, et al.
Pubblicazione: (2024)

Survey on Evaluation of LLM-based Agents
di: Yehudai, Asaf, et al.
Pubblicazione: (2025)

ReIFE: Re-evaluating Instruction-Following Evaluation
di: Liu, Yixin, et al.
Pubblicazione: (2024)

Understanding Reference Policies in Direct Preference Optimization
di: Liu, Yixin, et al.
Pubblicazione: (2024)

Can AI Be a Good Peer Reviewer? A Survey of Peer Review Process, Evaluation, and the Future
di: Wu, Sihong, et al.
Pubblicazione: (2026)

RbtAct: Rebuttal as Supervision for Actionable Review Feedback Generation
di: Wu, Sihong, et al.
Pubblicazione: (2026)

TrustLDM: Benchmarking Trustworthiness in Language Diffusion Models
di: Mo, Yichuan, et al.
Pubblicazione: (2026)

Vaccine: Perturbation-aware Alignment for Large Language Models against Harmful Fine-tuning Attack
di: Huang, Tiansheng, et al.
Pubblicazione: (2024)

SUCEA: Reasoning-Intensive Retrieval for Adversarial Fact-checking through Claim Decomposition and Editing
di: Liu, Hongjun, et al.
Pubblicazione: (2025)

VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos
di: Song, Tingyu, et al.
Pubblicazione: (2025)

References Improve LLM Alignment in Non-Verifiable Domains
di: Shi, Kejian, et al.
Pubblicazione: (2026)

Table-R1: Inference-Time Scaling for Table Reasoning
di: Yang, Zheyuan, et al.
Pubblicazione: (2025)

Re-evaluating Automatic LLM System Ranking for Alignment with Human Preference
di: Gao, Mingqi, et al.
Pubblicazione: (2024)

Semantic Codebooks as Effective Priors for Neural Speech Compression
di: Bai, Liuyang, et al.
Pubblicazione: (2025)

Can LLMs Identify Critical Limitations within Scientific Research? A Systematic Evaluation on AI Research Papers
di: Xu, Zhijian, et al.
Pubblicazione: (2025)

Investigating Data Contamination in Modern Benchmarks for Large Language Models
di: Deng, Chunyuan, et al.
Pubblicazione: (2023)

SciVer: Evaluating Foundation Models for Multimodal Scientific Claim Verification
di: Wang, Chengye, et al.
Pubblicazione: (2025)

MDCure: A Scalable Pipeline for Multi-Document Instruction-Following
di: Liu, Gabrielle Kaili-May, et al.
Pubblicazione: (2024)

M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models
di: Li, Chuhan, et al.
Pubblicazione: (2024)

Evaluating Judges as Evaluators: The JETTS Benchmark of LLM-as-Judges as Test-Time Scaling Evaluators
di: Zhou, Yilun, et al.
Pubblicazione: (2025)

HumanEval Pro and MBPP Pro: Evaluating Large Language Models on Self-invoking Code Generation
di: Yu, Zhaojian, et al.
Pubblicazione: (2024)

CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models
di: Xia, Peng, et al.
Pubblicazione: (2024)

Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems
di: Zhao, Yilun, et al.
Pubblicazione: (2026)

FinanceQA: A Benchmark for Evaluating Financial Analysis Capabilities of Large Language Models
di: Mateega, Spencer, et al.
Pubblicazione: (2025)

Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models
di: Zheng, Kening, et al.
Pubblicazione: (2024)

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers
di: Zhao, Yilun, et al.
Pubblicazione: (2025)

LimRank: Less is More for Reasoning-Intensive Information Reranking
di: Song, Tingyu, et al.
Pubblicazione: (2025)

Calibrating Long-form Generations from Large Language Models
di: Huang, Yukun, et al.
Pubblicazione: (2024)

LLM-TOPLA: Efficient LLM Ensemble by Maximising Diversity
di: Tekin, Selim Furkan, et al.
Pubblicazione: (2024)