conftrace_

out-of-distribution evaluation

17 papers

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Co-occurring keywords

domain generalization (1522) visual question answering (1017) large language model (13587) dataset bia (149) distribution shift (722) question answering (2963) reasoning ability (52) spurious correlation (279) compositional consistency (1) instruction retrieval (1)

Papers

Black Swan: Abductive and Defeasible Video Reasoning in Unpredictable Events CVPR 2025
Can Out-of-Distribution Evaluations Uncover Reliance on Prediction Shortcuts? A Case Study in Question Answering EMNLP 2025
REVIVING YOUR MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing EMNLP 2025
Adaptive Labeling for Efficient Out-of-distribution Model Evaluation NIPS 2024
Leveraging Generative Large Language Models with Visual Instruction and Demonstration Retrieval for Multimodal Sarcasm Detection NAACL 2024
A Symbolic Framework for Evaluating Mathematical Reasoning and Generalisation with Transformers NAACL 2024
Benchmarking Distribution Shift in Tabular Data with TableShift NIPS 2023
ArTrivia: Harvesting Arabic Wikipedia to Build A New Arabic Question Answering Dataset EMNLP 2023
Making Large Language Models Better Data Creators EMNLP 2023
Towards Multi-task Learning of Speech and Speaker Recognition INTERSPEECH 2023
A Survey on Out-of-Distribution Evaluation of Neural NLP Models IJCAI 2023
Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA EMNLP 2022
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution NIPS 2021
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering ICCV 2021
Roses Are Red, Violets Are Blue... but Should VQA Expect Them To? CVPR 2021
Automatic Generation of Contrast Sets from Scene Graphs: Probing the Compositional Consistency of GQA NAACL 2021
Improving QA Generalization by Concurrent Modeling of Multiple Biases EMNLP 2020