Copertina

Causality for Natural Language Processing

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Jin, Zhijing
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language Artificial Intelligence Computers and Society Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

CausalCite: A Causal Formulation of Paper Citations
di: Kumar, Ishan, et al.
Pubblicazione: (2023)

Implicit Personalization in Language Models: A Systematic Study
di: Jin, Zhijing, et al.
Pubblicazione: (2024)

Interpretable Recognition of Cognitive Distortions in Natural Language Texts
di: Kolonin, Anton, et al.
Pubblicazione: (2025)

Towards Large Language Models that Benefit for All: Benchmarking Group Fairness in Reward Models
di: Song, Kefan, et al.
Pubblicazione: (2025)

CLadder: Assessing Causal Reasoning in Language Models
di: Jin, Zhijing, et al.
Pubblicazione: (2023)

Fairness Certification for Natural Language Processing and Large Language Models
di: Freiberger, Vincent, et al.
Pubblicazione: (2024)

Improving Large Language Model Safety with Contrastive Representation Learning
di: Simko, Samuel, et al.
Pubblicazione: (2025)

Causal Reasoning and Large Language Models: Opening a New Frontier for Causality
di: Kıcıman, Emre, et al.
Pubblicazione: (2023)

On The Role of Reasoning in the Identification of Subtle Stereotypes in Natural Language
di: Tian, Jacob-Junqi, et al.
Pubblicazione: (2023)

Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas: A Survey
di: Deng, Chengyuan, et al.
Pubblicazione: (2024)

BinaryPPO: Efficient Policy Optimization for Binary Classification
di: Pandey, Punya Syon, et al.
Pubblicazione: (2026)

Large Language Models Predict Functional Outcomes after Acute Ischemic Stroke
di: Kapoor, Anjali K., et al.
Pubblicazione: (2026)

Autoformalizing Natural Language to First-Order Logic: A Case Study in Logical Fallacy Detection
di: Lalwani, Abhinav, et al.
Pubblicazione: (2024)

The Compliance Gap: Why AI Systems Promise to Follow Process Instructions but Don't
di: Shin, Kwan Soo
Pubblicazione: (2026)

No Argument Left Behind: Overlapping Chunks for Faster Processing of Arbitrarily Long Legal Texts
di: Fama, Israel, et al.
Pubblicazione: (2024)

Informatics for Food Processing
di: Ispirova, Gordana, et al.
Pubblicazione: (2025)

Difficulty-Based Preference Data Selection by DPO Implicit Reward Gap
di: Qi, Xuan, et al.
Pubblicazione: (2025)

Correlated Errors in Large Language Models
di: Kim, Elliot, et al.
Pubblicazione: (2025)

Hypothesis Generation with Large Language Models
di: Zhou, Yangqiaoyu, et al.
Pubblicazione: (2024)

Large Language Models are Geographically Biased
di: Manvi, Rohin, et al.
Pubblicazione: (2024)

Psychological Counseling Ability of Large Language Models
di: Peng, Fangyu, et al.
Pubblicazione: (2025)

Assessing Large Language Models on Climate Information
di: Bulian, Jannis, et al.
Pubblicazione: (2023)

Language Agents as Digital Representatives in Collective Decision-Making
di: Jarrett, Daniel, et al.
Pubblicazione: (2025)

A Taxonomy of Stereotype Content in Large Language Models
di: Nicolas, Gandalf, et al.
Pubblicazione: (2024)

Deliberative Alignment: Reasoning Enables Safer Language Models
di: Guan, Melody Y., et al.
Pubblicazione: (2024)

Bias and Fairness in Large Language Models: A Survey
di: Gallegos, Isabel O., et al.
Pubblicazione: (2023)

Transforming Agency. On the mode of existence of Large Language Models
di: Barandiaran, Xabier E., et al.
Pubblicazione: (2024)

On Uncertainty In Natural Language Processing
di: Ulmer, Dennis
Pubblicazione: (2024)

Evaluating the Effectiveness of XAI Techniques for Encoder-Based Language Models
di: Mersha, Melkamu Abay, et al.
Pubblicazione: (2025)

Laissez-Faire Harms: Algorithmic Biases in Generative Language Models
di: Shieh, Evan, et al.
Pubblicazione: (2024)

AI Sandbagging: Language Models can Strategically Underperform on Evaluations
di: van der Weij, Teun, et al.
Pubblicazione: (2024)

Foundational Challenges in Assuring Alignment and Safety of Large Language Models
di: Anwar, Usman, et al.
Pubblicazione: (2024)

Exploring Accuracy-Fairness Trade-off in Large Language Models
di: Zhang, Qingquan, et al.
Pubblicazione: (2024)

Are Large Language Models Chameleons? An Attempt to Simulate Social Surveys
di: Geng, Mingmeng, et al.
Pubblicazione: (2024)

BiasEdit: Debiasing Stereotyped Language Models via Model Editing
di: Xu, Xin, et al.
Pubblicazione: (2025)

Emissions and Performance Trade-off Between Small and Large Language Models
di: Garg, Anandita, et al.
Pubblicazione: (2025)

Language Representation Favored Zero-Shot Cross-Domain Cognitive Diagnosis
di: Liu, Shuo, et al.
Pubblicazione: (2025)

A Behavioural and Representational Evaluation of Goal-Directedness in Language Model Agents
di: Arghal, Raghu, et al.
Pubblicazione: (2026)

LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models
di: Faiz, Ahmad, et al.
Pubblicazione: (2023)

REQUAL-LM: Reliability and Equity through Aggregation in Large Language Models
di: Ebrahimi, Sana, et al.
Pubblicazione: (2024)