Co-occurring keywords · papers mentioning both
Papers
Attention Speaks Volumes: Localizing and Mitigating Bias in Language Models
ACL 2025
Beyond the Surface: Measuring Self-Preference in LLM Judgments
EMNLP 2025
Do Language Models Understand the Cognitive Tasks Given to Them? Investigations with the N-Back Paradigm
ACL 2025
Entity Tracking in Small Language Models: An Attention-Based Study of Parameter-Efficient Fine-Tuning
EMNLP 2025
From Reasoning to Answer: Empirical, Attention-Based and Mechanistic Insights into Distilled DeepSeek R1 Models
EMNLP 2025
From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks
NAACL 2025
HumorDB: Can AI understand graphical humor?
ICCV 2025
Know-MRI: A Knowledge Mechanisms Revealer&Interpreter for Large Language Models
ACL 2025
MedEBench: Diagnosing Reliability in Text-Guided Medical Image Editing
EMNLP 2025
Sticking to the Mean: Detecting Sticky Tokens in Text Embedding Models
ACL 2025
This is not a Disimprovement: Improving Negation Reasoning in Large Language Models via Prompt Engineering
EMNLP 2025
TopicAttack: An Indirect Prompt Injection Attack via Topic Transition
EMNLP 2025
What's in the Image? A Deep-Dive into the Vision of Vision Language Models
CVPR 2025
A Critical Study of What Code-LLMs (Do Not) Learn
ACL 2024
Can I Trust Your Answer? Visually Grounded Video Question Answering
CVPR 2024
Tracr: Compiled Transformers as a Laboratory for Interpretability
NeurIPS 2023
Evaluating the Faithfulness of Importance Measures in NLP by Recursively Masking Allegedly Important Tokens and Retraining
EMNLP 2022
Interpreting Gender Bias in Neural Machine Translation: Multilingual Architecture Matters
AAAI 2022
KIQA: Knowledge-Infused Question Answering Model for Financial Table-Text Data
ACL 2022
Understanding Neural Abstractive Summarization Models via Uncertainty
EMNLP 2020
Analyzing the Structure of Attention in a Transformer Language Model
ACL 2019
What Does BERT Look at? An Analysis of BERT’s Attention
ACL 2019
What does Attention in Neural Machine Translation Pay Attention to?
IJCNLP 2017