Cover Image

From Insights to Actions: The Impact of Interpretability and Analysis Research on NLP

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mosbach, Marius, Gautam, Vagrant, Vergara-Browne, Tomás, Klakow, Dietrich, Geva, Mor
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Understanding "Democratization" in NLP and ML Research
by: Subramonian, Arjun, et al.
Published: (2024)

The Hidden Space of Transformer Language Adapters
by: Alabi, Jesujoba O., et al.
Published: (2024)

The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional Analysis
by: Zhang, Miaoran, et al.
Published: (2024)

What explains the success of cross-modal fine-tuning with ORCA?
by: García-de-Herreros, Paloma, et al.
Published: (2024)

Teaching and Critiquing Conceptualization and Operationalization in NLP
by: Gautam, Vagrant
Published: (2025)

Exploring the Effectiveness and Consistency of Task Selection in Intermediate-Task Transfer Learning
by: Lin, Pin-Jie, et al.
Published: (2024)

Aligned Probing: Relating Toxic Behavior and Model Internals
by: Waldis, Andreas, et al.
Published: (2025)

Robust Pronoun Fidelity with English LLMs: Are they Reasoning, Repeating, or Just Biased?
by: Gautam, Vagrant, et al.
Published: (2024)

Decoding Partial Differential Equations: Cross-Modal Adaptation of Decoder-only Models to PDEs
by: García-de-Herreros, Paloma, et al.
Published: (2025)

WinoPron: Revisiting English Winogender Schemas for Consistency, Coverage, and Grammatical Case
by: Gautam, Vagrant, et al.
Published: (2024)

Agree to Disagree? A Meta-Evaluation of LLM Misgendering
by: Subramonian, Arjun, et al.
Published: (2025)

Colombian Waitresses y Jueces canadienses: Gender and Country Biases in Occupation Recommendations from LLMs
by: Rodríguez, Elisa Forcada, et al.
Published: (2025)

Stop! In the Name of Flaws: Disentangling Personal Names and Sociodemographic Attributes in NLP
by: Gautam, Vagrant, et al.
Published: (2024)

Constructing Interpretable Features from Compositional Neuron Groups
by: Shafran, Or, et al.
Published: (2025)

LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations
by: Gottesman, Daniela, et al.
Published: (2025)

Estimating Knowledge in Large Language Models Without Generating a Single Token
by: Gottesman, Daniela, et al.
Published: (2024)

Inferring Functionality of Attention Heads from their Parameters
by: Elhelo, Amit, et al.
Published: (2024)

Charting the Landscape of African NLP: Mapping Progress and Shaping the Road Ahead
by: Alabi, Jesujoba O., et al.
Published: (2025)

GRUFF: LLM Pronoun Fidelity, Reasoning, and Biases in German
by: Mewes, Fabian, et al.
Published: (2026)

Utilizing Multimodal Data for Edge Case Robust Call-sign Recognition and Understanding
by: Blatt, Alexander, et al.
Published: (2024)

Tracr-Injection: Distilling Algorithms into Pre-trained Language Models
by: Vergara-Browne, Tomás, et al.
Published: (2025)

Enhancing Automated Interpretability with Output-Centric Feature Descriptions
by: Gur-Arieh, Yoav, et al.
Published: (2025)

Your Multimodal Speech Model Says I Have a Face for Radio
by: Nachesa, Maya K., et al.
Published: (2026)

Eliciting Textual Descriptions from Representations of Continuous Prompts
by: Ramati, Dana, et al.
Published: (2024)

Narrowing the Knowledge Evaluation Gap: Open-Domain Question Answering with Multi-Granularity Answers
by: Yona, Gal, et al.
Published: (2024)

Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?
by: Yona, Gal, et al.
Published: (2024)

Hallucinations Undermine Trust; Metacognition is a Way Forward
by: Yona, Gal, et al.
Published: (2026)

IGC: Integrating a Gated Calculator into an LLM to Solve Arithmetic Tasks Reliably and Efficiently
by: Dietz, Florian, et al.
Published: (2025)

Whose Facts Win? LLM Source Preferences under Knowledge Conflicts
by: Schuster, Jakob, et al.
Published: (2026)

RAVEL: Evaluating Interpretability Methods on Disentangling Language Model Representations
by: Huang, Jing, et al.
Published: (2024)

The Illusion of Superposition? A Principled Analysis of Latent Thinking in Language Models
by: Rizvi-Martel, Michael, et al.
Published: (2026)

Not All Data Are Unlearned Equally
by: Krishnan, Aravind, et al.
Published: (2025)

From Loops to Oops: Fallback Behaviors of Language Models Under Uncertainty
by: Ivgi, Maor, et al.
Published: (2024)

Preventing Rogue Agents Improves Multi-Agent Collaboration
by: Barbi, Ohav, et al.
Published: (2025)

Routers Learn the Geometry of Their Experts: Geometric Coupling in Sparse Mixture-of-Experts
by: Ahrac, Sagi, et al.
Published: (2026)

Mixing Mechanisms: How Language Models Retrieve Bound Entities In-Context
by: Gur-Arieh, Yoav, et al.
Published: (2025)

Faithfulness Metrics Don't Measure Faithfulness: A Meta-Evaluation with Ground Truth
by: Gur-Arieh, Yoav, et al.
Published: (2026)

Disentangling MLP Neuron Weights in Vocabulary Space
by: Avrahamy, Asaf, et al.
Published: (2026)

Detecting (Un)answerability in Large Language Models with Linear Directions
by: Lavi, Maor Juliet, et al.
Published: (2025)

From Directions to Regions: Decomposing Activations in Language Models via Local Geometry
by: Shafran, Or, et al.
Published: (2026)