Measuring the Robustness of NLP Models to Domain Shifts
Fuente:
arXiv
Saved in:
| Main Authors: | Calderon, Nitay, Porat, Naveh, Ben-David, Eyal, Chapanin, Alexander, Gekhman, Zorik, Oved, Nadav, Shalumov, Vitaly, Reichart, Roi |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs
by: Calderon, Nitay, et al.
Published: (2024)
by: Calderon, Nitay, et al.
Published: (2024)
Empty Shelves or Lost Keys? Recall Is the Bottleneck for Parametric Factuality
by: Calderon, Nitay, et al.
Published: (2026)
by: Calderon, Nitay, et al.
Published: (2026)
NL-Eye: Abductive NLI for Images
by: Ventura, Mor, et al.
Published: (2024)
by: Ventura, Mor, et al.
Published: (2024)
AdaptiVocab: Enhancing LLM Efficiency in Focused Domains through Lightweight Vocabulary Adaptation
by: Nakash, Itay, et al.
Published: (2025)
by: Nakash, Itay, et al.
Published: (2025)
Multi-Domain Explainability of Preferences
by: Calderon, Nitay, et al.
Published: (2025)
by: Calderon, Nitay, et al.
Published: (2025)
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?
by: Gekhman, Zorik, et al.
Published: (2024)
by: Gekhman, Zorik, et al.
Published: (2024)
Can LLMs Learn Macroeconomic Narratives from Social Media?
by: Gueta, Almog, et al.
Published: (2024)
by: Gueta, Almog, et al.
Published: (2024)
Inside-Out: Hidden Factual Knowledge in LLMs
by: Gekhman, Zorik, et al.
Published: (2025)
by: Gekhman, Zorik, et al.
Published: (2025)
Fine-Grained Detection of Context-Grounded Hallucinations Using LLMs
by: Peisakhovsky, Yehonatan, et al.
Published: (2025)
by: Peisakhovsky, Yehonatan, et al.
Published: (2025)
Thinking to Recall: How Reasoning Unlocks Parametric Knowledge in LLMs
by: Gekhman, Zorik, et al.
Published: (2026)
by: Gekhman, Zorik, et al.
Published: (2026)
The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs
by: Calderon, Nitay, et al.
Published: (2025)
by: Calderon, Nitay, et al.
Published: (2025)
LIBERTy: A Causal Framework for Benchmarking Concept-Based Explanations of LLMs with Structural Counterfactuals
by: Toker, Gilat, et al.
Published: (2026)
by: Toker, Gilat, et al.
Published: (2026)
Are LLMs Better than Reported? Detecting Label Errors and Mitigating Their Effect on Model Performance
by: Nahum, Omer, et al.
Published: (2024)
by: Nahum, Omer, et al.
Published: (2024)
LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations
by: Orgad, Hadas, et al.
Published: (2024)
by: Orgad, Hadas, et al.
Published: (2024)
Dementia Through Different Eyes: Explainable Modeling of Human and LLM Perceptions for Early Awareness
by: Peled-Cohen, Lotem, et al.
Published: (2025)
by: Peled-Cohen, Lotem, et al.
Published: (2025)
The Colorful Future of LLMs: Evaluating and Improving LLMs as Emotional Supporters for Queer Youth
by: Lissak, Shir, et al.
Published: (2024)
by: Lissak, Shir, et al.
Published: (2024)
Navigating Cultural Chasms: Exploring and Unlocking the Cultural POV of Text-To-Image Models
by: Ventura, Mor, et al.
Published: (2023)
by: Ventura, Mor, et al.
Published: (2023)
A Systematic Review of NLP for Dementia -- Tasks, Datasets and Opportunities
by: Peled-Cohen, Lotem, et al.
Published: (2024)
by: Peled-Cohen, Lotem, et al.
Published: (2024)
Leveraging NTPs for Efficient Hallucination Detection in VLMs
by: Azachi, Ofir, et al.
Published: (2025)
by: Azachi, Ofir, et al.
Published: (2025)
Mevaker: Conclusion Extraction and Allocation Resources for the Hebrew Language
by: Shalumov, Vitaly, et al.
Published: (2024)
by: Shalumov, Vitaly, et al.
Published: (2024)
HACK: Hallucinations Along Certainty and Knowledge Axes
by: Simhi, Adi, et al.
Published: (2025)
by: Simhi, Adi, et al.
Published: (2025)
Confidence Improves Self-Consistency in LLMs
by: Taubenfeld, Amir, et al.
Published: (2025)
by: Taubenfeld, Amir, et al.
Published: (2025)
TabSTAR: A Tabular Foundation Model for Tabular Data with Text Fields
by: Arazi, Alan, et al.
Published: (2025)
by: Arazi, Alan, et al.
Published: (2025)
Predicting Decisions of AI Agents from Limited Interaction through Text-Tabular Modeling
by: Shapira, Eilam, et al.
Published: (2026)
by: Shapira, Eilam, et al.
Published: (2026)
Motivation in Large Language Models
by: Nahum, Omer, et al.
Published: (2026)
by: Nahum, Omer, et al.
Published: (2026)
Bored to Death: Artificial Intelligence Research Reveals the Role of Boredom in Suicide Behavior
by: Lissak, Shir, et al.
Published: (2024)
by: Lissak, Shir, et al.
Published: (2024)
Why Fine-Tuning Encourages Hallucinations and How to Fix It
by: Kaplan, Guy, et al.
Published: (2026)
by: Kaplan, Guy, et al.
Published: (2026)
Bridging Online Behavior and Clinical Insight: A Longitudinal LLM-based Study of Suicidality on YouTube Reveals Novel Digital Markers
by: Sobol, Ilanit, et al.
Published: (2025)
by: Sobol, Ilanit, et al.
Published: (2025)
Qmod: Expressive High-Level Quantum Modeling
by: Vax, Matan, et al.
Published: (2025)
by: Vax, Matan, et al.
Published: (2025)
The Poisoned Apple Effect: Strategic Manipulation of Mediated Markets via Technology Expansion of AI Agents
by: Shapira, Eilam, et al.
Published: (2026)
by: Shapira, Eilam, et al.
Published: (2026)
Multilinguality at the Edge: Developing Language Models for the Global South
by: Miranda, Lester James V., et al.
Published: (2026)
by: Miranda, Lester James V., et al.
Published: (2026)
Systematic Biases in LLM Simulations of Debates
by: Taubenfeld, Amir, et al.
Published: (2024)
by: Taubenfeld, Amir, et al.
Published: (2024)
Evaluating Alignment of Behavioral Dispositions in LLMs
by: Taubenfeld, Amir, et al.
Published: (2026)
by: Taubenfeld, Amir, et al.
Published: (2026)
DeLeaker: Dynamic Inference-Time Reweighting For Semantic Leakage Mitigation in Text-to-Image Models
by: Ventura, Mor, et al.
Published: (2025)
by: Ventura, Mor, et al.
Published: (2025)
Text2Model: Text-based Model Induction for Zero-shot Image Classification
by: Amosy, Ohad, et al.
Published: (2022)
by: Amosy, Ohad, et al.
Published: (2022)
Human and large language model judgments of cognitive impairment from language: An explainable artificial intelligence approach
by: Maya Zadok, et al.
Published: (2026)
by: Maya Zadok, et al.
Published: (2026)
CPLLM: Clinical Prediction with Large Language Models
by: Shoham, Ofir Ben, et al.
Published: (2023)
by: Shoham, Ofir Ben, et al.
Published: (2023)
Guided Query Refinement: Multimodal Hybrid Retrieval with Test-Time Optimization
by: Uzan, Omri, et al.
Published: (2025)
by: Uzan, Omri, et al.
Published: (2025)
Can LLMs Replace Economic Choice Prediction Labs? The Case of Language-based Persuasion Games
by: Shapira, Eilam, et al.
Published: (2024)
by: Shapira, Eilam, et al.
Published: (2024)
When Knowledge Is Not Free: Cost-Aware Evidence Selection in Retrieval-Augmented Generation
by: Wu, Mingyan, et al.
Published: (2026)
by: Wu, Mingyan, et al.
Published: (2026)
Similar Items
-
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs
by: Calderon, Nitay, et al.
Published: (2024) -
Empty Shelves or Lost Keys? Recall Is the Bottleneck for Parametric Factuality
by: Calderon, Nitay, et al.
Published: (2026) -
NL-Eye: Abductive NLI for Images
by: Ventura, Mor, et al.
Published: (2024) -
AdaptiVocab: Enhancing LLM Efficiency in Focused Domains through Lightweight Vocabulary Adaptation
by: Nakash, Itay, et al.
Published: (2025) -
Multi-Domain Explainability of Preferences
by: Calderon, Nitay, et al.
Published: (2025)