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Artificial Intelligence › Core AI ›

Interpretability

7,318 papers

Papers per year

Papers

Empowering Tree-structured Entailment Reasoning: Rhetorical Perception and LLM-driven Interpretability COLING 2024

Enhancing Large Language Models through Transforming Reasoning Problems into Classification Tasks COLING 2024

Estimating the Causal Effects of Natural Logic Features in Transformer-Based NLI Models COLING 2024

Evaluating the IWSLT2023 Speech Translation Tasks: Human Annotations, Automatic Metrics, and Segmentation COLING 2024

Evaluating Webcam-based Gaze Data as an Alternative for Human Rationale Annotations COLING 2024

Evaluation of Really Good Grammatical Error Correction COLING 2024

Explaining Pre-Trained Language Models with Attribution Scores: An Analysis in Low-Resource Settings COLING 2024

Exploring and Mitigating Shortcut Learning for Generative Large Language Models COLING 2024

Exploring Interpretability of Independent Components of Word Embeddings with Automated Word Intruder Test COLING 2024

FORECAST2023: A Forecast and Reasoning Corpus of Argumentation Structures COLING 2024

Halwasa: Quantify and Analyze Hallucinations in Large Language Models: Arabic as a Case Study COLING 2024

Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models COLING 2024

HoLM: Analyzing the Linguistic Unexpectedness in Homeric Poetry COLING 2024

How Large Language Models Encode Context Knowledge? A Layer-Wise Probing Study COLING 2024

Human and System Perspectives on the Expression of Irony: An Analysis of Likelihood Labels and Rationales COLING 2024

Identifying Source Language Expressions for Pre-editing in Machine Translation COLING 2024

ILCiteR: Evidence-grounded Interpretable Local Citation Recommendation COLING 2024

Improving Factual Consistency in Abstractive Summarization with Sentence Structure Pruning COLING 2024

Improving Implicit Discourse Relation Recognition with Semantics Confrontation COLING 2024

InfFeed: Influence Functions as a Feedback to Improve the Performance of Subjective Tasks COLING 2024

Intention and Face in Dialog COLING 2024

Interpretable Assessment of Speech Intelligibility Using Deep Learning: A Case Study on Speech Disorders Due to Head and Neck Cancers COLING 2024

Interpretable Short Video Rumor Detection Based on Modality Tampering COLING 2024

Intrinsic Subgraph Generation for Interpretable Graph Based Visual Question Answering COLING 2024

Jump to Conclusions: Short-Cutting Transformers with Linear Transformations COLING 2024