Imagen de Portada

Toward Machine Interpreting: Lessons from Human Interpreting Studies

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Sperber, Matthias, de Seyssel, Maureen, Bao, Jiajun, Paulik, Matthias
Formato:	Preprint
Publicado:	2025
Materias:	Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

The Role of Prosody in Spoken Question Answering
por: Chi, Jie, et al.
Publicado: (2025)

Which Evaluation for Which Model? A Taxonomy for Speech Model Assessment
por: de Seyssel, Maureen, et al.
Publicado: (2025)

Assessing the Role of Data Quality in Training Bilingual Language Models
por: Seto, Skyler, et al.
Publicado: (2025)

Generating Gender Alternatives in Machine Translation
por: Garg, Sarthak, et al.
Publicado: (2024)

EmphAssess : a Prosodic Benchmark on Assessing Emphasis Transfer in Speech-to-Speech Models
por: de Seyssel, Maureen, et al.
Publicado: (2023)

Leveraging Audio-Visual Data to Reduce the Multilingual Gap in Self-Supervised Speech Models
por: Blandón, María Andrea Cruz, et al.
Publicado: (2025)

Discriminating Form and Meaning in Multilingual Models with Minimal-Pair ABX Tasks
por: de Seyssel, Maureen, et al.
Publicado: (2025)

Speech is More Than Words: Do Speech-to-Text Translation Systems Leverage Prosody?
por: Tsiamas, Ioannis, et al.
Publicado: (2024)

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

Redefining Machine Simultaneous Interpretation: From Incremental Translation to Human-Like Strategies
por: Zhang, Qianen, et al.
Publicado: (2025)

Redefining Machine Simultaneous Interpretation: From Incremental Translation to Human-Like Strategies
por: Zhang, Qianen, et al.
Publicado: (2026)

Towards Making Flowchart Images Machine Interpretable
por: Shukla, Shreya, et al.
Publicado: (2025)

Bridging Human Interpretation and Machine Representation: A Landscape of Qualitative Data Analysis in the LLM Era
por: Pi, Xinyu, et al.
Publicado: (2026)

The Craft of Selective Prediction: Towards Reliable Case Outcome Classification -- An Empirical Study on European Court of Human Rights Cases
por: Santosh, T. Y. S. S., et al.
Publicado: (2024)

Adjusting Interpretable Dimensions in Embedding Space with Human Judgments
por: Erk, Katrin, et al.
Publicado: (2024)

ESCoT: Towards Interpretable Emotional Support Dialogue Systems
por: Zhang, Tenggan, et al.
Publicado: (2024)

Evaluating the IWSLT2023 Speech Translation Tasks: Human Annotations, Automatic Metrics, and Segmentation
por: Sperber, Matthias, et al.
Publicado: (2024)

Irony in Emojis: A Comparative Study of Human and LLM Interpretation
por: Zheng, Yawen, et al.
Publicado: (2025)

HUMORCHAIN: Theory-Guided Multi-Stage Reasoning for Interpretable Multimodal Humor Generation
por: Zhang, Jiajun, et al.
Publicado: (2025)

Human and Automatic Interpretation of Romanian Noun Compounds
por: Marinescu, Ioana, et al.
Publicado: (2024)

Cultural Biases of Large Language Models and Humans in Historical Interpretation
por: Celli, Fabio, et al.
Publicado: (2025)

Interpreting Predictive Probabilities: Model Confidence or Human Label Variation?
por: Baan, Joris, et al.
Publicado: (2024)

The Mechanics of Conceptual Interpretation in GPT Models: Interpretative Insights
por: Aljaafari, Nura, et al.
Publicado: (2024)

Towards Interpretable Time Series Foundation Models
por: Boileau, Matthieu, et al.
Publicado: (2025)

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

Prompting Large Language Models with Human Error Markings for Self-Correcting Machine Translation
por: Berger, Nathaniel, et al.
Publicado: (2024)

Beyond Correlation: Interpretable Evaluation of Machine Translation Metrics
por: Perrella, Stefano, et al.
Publicado: (2024)

Towards Definitional Interpreters for Hoare Logics
por: Sun, Ke, et al.
Publicado: (2026)

Leveraging Human Production-Interpretation Asymmetries to Test LLM Cognitive Plausibility
por: Lam, Suet-Ying, et al.
Publicado: (2025)

Towards Resource Efficient and Interpretable Bias Mitigation in Large Language Models
por: Tong, Schrasing, et al.
Publicado: (2024)

Human-Interpretable Adversarial Prompt Attack on Large Language Models with Situational Context
por: Das, Nilanjana, et al.
Publicado: (2024)

Towards Reducing Diagnostic Errors with Interpretable Risk Prediction
por: McInerney, Denis Jered, et al.
Publicado: (2024)

Towards Interpreting Language Models: A Case Study in Multi-Hop Reasoning
por: Sakarvadia, Mansi
Publicado: (2024)

Interpreting Themes from Educational Stories
por: Zhang, Yigeng, et al.
Publicado: (2024)

Towards a Fully Interpretable and More Scalable RSA Model for Metaphor Understanding
por: Carenini, Gaia, et al.
Publicado: (2024)

Circuit Insights: Towards Interpretability Beyond Activations
por: Golimblevskaia, Elena, et al.
Publicado: (2025)

Uncovering Gaps in How Humans and LLMs Interpret Subjective Language
por: Jones, Erik, et al.
Publicado: (2025)

Closing the Gap Between Text and Speech Understanding in LLMs
por: Cuervo, Santiago, et al.
Publicado: (2025)

Comparing Human and Large Language Model Interpretation of Implicit Information
por: De Santis, Antonio, et al.
Publicado: (2026)

Toward a Theory of Generalizability in LLM Mechanistic Interpretability Research
por: Trott, Sean
Publicado: (2025)