Copertina

Can Machines Resonate with Humans? Evaluating the Emotional and Empathic Comprehension of LMs

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Manzoor, Muhammad Arslan, Wang, Yuxia, Wang, Minghan, Nakov, Preslav
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Rethinking STS and NLI in Large Language Models
di: Wang, Yuxia, et al.
Pubblicazione: (2023)

Factuality of Large Language Models: A Survey
di: Wang, Yuxia, et al.
Pubblicazione: (2024)

OpenFactCheck: Building, Benchmarking Customized Fact-Checking Systems and Evaluating the Factuality of Claims and LLMs
di: Wang, Yuxia, et al.
Pubblicazione: (2024)

UnsafeChain: Enhancing Reasoning Model Safety via Hard Cases
di: Tomar, Raj Vardhan, et al.
Pubblicazione: (2025)

How Does Prefix Matter in Reasoning Model Tuning?
di: Tomar, Raj Vardhan, et al.
Pubblicazione: (2026)

A Multi-View Media Profiling Suite: Resources, Evaluation, and Analysis
di: Manzoor, Muhammad Arslan, et al.
Pubblicazione: (2026)

MGM: Global Understanding of Audience Overlap Graphs for Predicting the Factuality and the Bias of News Media
di: Manzoor, Muhammad Arslan, et al.
Pubblicazione: (2024)

OpenFactCheck: A Unified Framework for Factuality Evaluation of LLMs
di: Iqbal, Hasan, et al.
Pubblicazione: (2024)

Arabic Dataset for LLM Safeguard Evaluation
di: Ashraf, Yasser, et al.
Pubblicazione: (2024)

HALF: Harm-Aware LLM Fairness Evaluation Aligned with Deployment
di: Mekky, Ali, et al.
Pubblicazione: (2025)

MuDRiC: Multi-Dialect Reasoning for Arabic Commonsense Validation
di: Elozeiri, Kareem, et al.
Pubblicazione: (2025)

UrduFactCheck: An Agentic Fact-Checking Framework for Urdu with Evidence Boosting and Benchmarking
di: Ahmad, Sarfraz, et al.
Pubblicazione: (2025)

A Comprehensive Survey of Machine Unlearning Techniques for Large Language Models
di: Geng, Jiahui, et al.
Pubblicazione: (2025)

Loki: An Open-Source Tool for Fact Verification
di: Li, Haonan, et al.
Pubblicazione: (2024)

CoDet-M4: Detecting Machine-Generated Code in Multi-Lingual, Multi-Generator and Multi-Domain Settings
di: Orel, Daniil, et al.
Pubblicazione: (2025)

ExaGPT: Example-Based Machine-Generated Text Detection for Human Interpretability
di: Koike, Ryuto, et al.
Pubblicazione: (2025)

Qorgau: Evaluating LLM Safety in Kazakh-Russian Bilingual Contexts
di: Goloburda, Maiya, et al.
Pubblicazione: (2025)

A Survey of Confidence Estimation and Calibration in Large Language Models
di: Geng, Jiahui, et al.
Pubblicazione: (2023)

Instruction Tuning on Public Government and Cultural Data for Low-Resource Language: a Case Study in Kazakh
di: Laiyk, Nurkhan, et al.
Pubblicazione: (2025)

A Chinese Dataset for Evaluating the Safeguards in Large Language Models
di: Wang, Yuxia, et al.
Pubblicazione: (2024)

DUAL-Bench: Measuring Over-Refusal and Robustness in Vision-Language Models
di: Ren, Kaixuan, et al.
Pubblicazione: (2025)

Large Language Models are Few-Shot Training Example Generators: A Case Study in Fallacy Recognition
di: Alhindi, Tariq, et al.
Pubblicazione: (2023)

Profiling News Media for Factuality and Bias Using LLMs and the Fact-Checking Methodology of Human Experts
di: Mujahid, Zain Muhammad, et al.
Pubblicazione: (2025)

Detecting Propaganda Techniques in Code-Switched Social Media Text
di: Salman, Muhammad Umar, et al.
Pubblicazione: (2023)

Detection of Human and Machine-Authored Fake News in Urdu
di: Ali, Muhammad Zain, et al.
Pubblicazione: (2024)

From Chaos to Clarity: Claim Normalization to Empower Fact-Checking
di: Sundriyal, Megha, et al.
Pubblicazione: (2023)

Adapting Fake News Detection to the Era of Large Language Models
di: Su, Jinyan, et al.
Pubblicazione: (2023)

Co-FactChecker: A Framework for Human-AI Collaborative Claim Verification Using Large Reasoning Models
di: Sahnan, Dhruv, et al.
Pubblicazione: (2026)

M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection
di: Wang, Yuxia, et al.
Pubblicazione: (2024)

Exploring Language Model Generalization in Low-Resource Extractive QA
di: Sengupta, Saptarshi, et al.
Pubblicazione: (2024)

HumanRankEval: Automatic Evaluation of LMs as Conversational Assistants
di: Gritta, Milan, et al.
Pubblicazione: (2024)

Missci: Reconstructing Fallacies in Misrepresented Science
di: Glockner, Max, et al.
Pubblicazione: (2024)

Grounding Fallacies Misrepresenting Scientific Publications in Evidence
di: Glockner, Max, et al.
Pubblicazione: (2024)

ConspirED: A Dataset for Cognitive Traits of Conspiracy Theories and Large Language Model Safety
di: Bates, Luke, et al.
Pubblicazione: (2025)

UNCERTAINTY-LINE: Length-Invariant Estimation of Uncertainty for Large Language Models
di: Vashurin, Roman, et al.
Pubblicazione: (2025)

MemeMQA: Multimodal Question Answering for Memes via Rationale-Based Inferencing
di: Agarwal, Siddhant, et al.
Pubblicazione: (2024)

Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers
di: Wang, Yuxia, et al.
Pubblicazione: (2023)

Exploring the Limitations of Detecting Machine-Generated Text
di: Doughman, Jad, et al.
Pubblicazione: (2024)

Explicit and Implicit Data Augmentation for Social Event Detection
di: Ma, Congbo, et al.
Pubblicazione: (2025)

Exploring the Potential of Multimodal LLM with Knowledge-Intensive Multimodal ASR
di: Wang, Minghan, et al.
Pubblicazione: (2024)