Skip to content
conftrace_

Interpretability

8,292 papers

5
14
512
2,137
'10
'15
'20
'25

Papers

Improving Interpretation Faithfulness for Vision Transformers ICML 2024 Improving Language Models Trained on Translated Data with Continual Pre-Training and Dictionary Learning Analysis ACL 2024 Improving LLM Attributions with Randomized Path-Integration EMNLP 2024 Improving Multi-party Dialogue Generation via Topic and Rhetorical Coherence EMNLP 2024 Improving Neural Additive Models with Bayesian Principles ICML 2024 Improving Quotation Attribution with Fictional Character Embeddings EMNLP 2024 Improving Sparse Decomposition of Language Model Activations with Gated Sparse Autoencoders NeurIPS 2024 In-Context Learning Dynamics with Random Binary Sequences ICLR 2024 In-Context Learning May Not Elicit Trustworthy Reasoning: A-Not-B Errors in Pretrained Language Models EMNLP 2024 In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation ICML 2024 Incorporating Information into Shapley Values: Reweighting via a Maximum Entropy Approach ICML 2024 Incorporating Word Count Information into Depression Risk Summary Generation: INF@UoS CLPsych 2024 Submission EACL 2024 Incremental Residual Concept Bottleneck Models CVPR 2024 IndiVec: An Exploration of Leveraging Large Language Models for Media Bias Detection with Fine-Grained Bias Indicators EACL 2024 Inference-Time Decontamination: Reusing Leaked Benchmarks for Large Language Model Evaluation EMNLP 2024 Inference to the Best Explanation in Large Language Models ACL 2024 Inferring Ontological Categories of OWL Classes Using Foundational Rules (Extended Abstract) IJCAI 2024 InfFeed: Influence Functions as a Feedback to Improve the Performance of Subjective Tasks COLING 2024 Information Flow Routes: Automatically Interpreting Language Models at Scale EMNLP 2024 Inherently Interpretable Time Series Classification via Multiple Instance Learning ICLR 2024 INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection ICLR 2024 Insights into LLM Long-Context Failures: When Transformers Know but Don’t Tell EMNLP 2024 IntCoOp: Interpretability-Aware Vision-Language Prompt Tuning EMNLP 2024 Integrated Decision Gradients: Compute Your Attributions Where the Model Makes Its Decision AAAI 2024 Intention and Face in Dialog COLING 2024