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Interpretability
7,318 papers
Papers per year
2003: 1
2006: 1
2007: 1
2008: 1
2009: 1
2010: 5
2012: 2
2013: 10
2014: 7
2015: 14
2016: 27
2017: 84
2018: 196
2019: 395
2020: 488
2021: 771
2022: 823
2023: 954
2024: 1360
2025: 1713
2026: 464
Papers
Uncovering the Root of Hate Speech: A Dataset for Identifying Hate Instigating Speech
EMNLP 2023
Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language Models
EMNLP 2023
Discovering Highly Influential Shortcut Reasoning: An Automated Template-Free Approach
EMNLP 2023
Conic10K: A Challenging Math Problem Understanding and Reasoning Dataset
EMNLP 2023
Unmasking the Hidden Meaning: Bridging Implicit and Explicit Hate Speech Embedding Representations
EMNLP 2023
PerturbScore: Connecting Discrete and Continuous Perturbations in NLP
EMNLP 2023
The Iron(ic) Melting Pot: Reviewing Human Evaluation in Humour, Irony and Sarcasm Generation
EMNLP 2023
Towards General Error Diagnosis via Behavioral Testing in Machine Translation
EMNLP 2023
Leveraging Structured Information for Explainable Multi-hop Question Answering and Reasoning
EMNLP 2023
Conditional Natural Language Inference
EMNLP 2023
Probing LLMs for Joint Encoding of Linguistic Categories
EMNLP 2023
Pseudointelligence: A Unifying Lens on Language Model Evaluation
EMNLP 2023
ReadPrompt: A Readable Prompting Method for Reliable Knowledge Probing
EMNLP 2023
Enhancing Argument Structure Extraction with Efficient Leverage of Contextual Information
EMNLP 2023
Evaluating Dependencies in Fact Editing for Language Models: Specificity and Implication Awareness
EMNLP 2023
Are Language Models Worse than Humans at Following Prompts? It’s Complicated
EMNLP 2023
Blackbird language matrices (BLM), a new task for rule-like generalization in neural networks: Can Large Language Models pass the test?
EMNLP 2023
CHiLL: Zero-shot Custom Interpretable Feature Extraction from Clinical Notes with Large Language Models
EMNLP 2023
Neuro-Symbolic Sentiment Analysis with Dynamic Word Sense Disambiguation
EMNLP 2023
When and Why Does Bias Mitigation Work?
EMNLP 2023
On the Calibration of Large Language Models and Alignment
EMNLP 2023
Do Stochastic Parrots have Feelings Too? Improving Neural Detection of Synthetic Text via Emotion Recognition
EMNLP 2023
RealBehavior: A Framework for Faithfully Characterizing Foundation Models’ Human-like Behavior Mechanisms
EMNLP 2023
InstructSafety: A Unified Framework for Building Multidimensional and Explainable Safety Detector through Instruction Tuning
EMNLP 2023
Toward Human Readable Prompt Tuning: Kubrick’s The Shining is a good movie, and a good prompt too?
EMNLP 2023
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