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Interpretability

7,318 papers

Papers per year

Papers

CHARP: Conversation History AwaReness Probing for Knowledge-grounded Dialogue Systems ACL 2024
k-SemStamp: A Clustering-Based Semantic Watermark for Detection of Machine-Generated Text ACL 2024
A Graph per Persona: Reasoning about Subjective Natural Language Descriptions ACL 2024
Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge Graphs ACL 2024
Concept-Best-Matching: Evaluating Compositionality In Emergent Communication ACL 2024
Enhancing Semantic Consistency of Large Language Models through Model Editing: An Interpretability-Oriented Approach ACL 2024
Data-Centric Explainable Debiasing for Improving Fairness in Pre-trained Language Models ACL 2024
Just Ask One More Time! Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios ACL 2024
Discerning and Resolving Knowledge Conflicts through Adaptive Decoding with Contextual Information-Entropy Constraint ACL 2024
A Mechanistic Analysis of a Transformer Trained on a Symbolic Multi-Step Reasoning Task ACL 2024
SyntaxShap: Syntax-aware Explainability Method for Text Generation ACL 2024
Automated Detection and Analysis of Data Practices Using A Real-World Corpus ACL 2024
Decomposing Co-occurrence Matrices into Interpretable Components as Formal Concepts ACL 2024
Locating and Extracting Relational Concepts in Large Language Models ACL 2024
Plausible Extractive Rationalization through Semi-Supervised Entailment Signal ACL 2024
Which Information Matters? Dissecting Human-written Multi-document Summaries with Partial Information Decomposition ACL 2024
Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models ACL 2024
LJPCheck: Functional Tests for Legal Judgment Prediction ACL 2024
When to Trust LLMs: Aligning Confidence with Response Quality ACL 2024
Mitigating Hallucinations in Large Vision-Language Models (LVLMs) via Language-Contrastive Decoding (LCD) ACL 2024
Exploring Spatial Schema Intuitions in Large Language and Vision Models ACL 2024
Too Big to Fail: Larger Language Models are Disproportionately Resilient to Induction of Dementia-Related Linguistic Anomalies ACL 2024
Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models ACL 2024
Identifying Semantic Induction Heads to Understand In-Context Learning ACL 2024
Spotting AI’s Touch: Identifying LLM-Paraphrased Spans in Text ACL 2024