- TACL 2024 [Causal Inference in Natural Language Processing- Estimation, Prediction, Interpretation and Beyond] (https://aclanthology.org/2022.tacl-1.66/)
- Blog Adjustment (Frontdoor, Backdoor)
- Survey [The Odyssey of Commonsense Causality:From Foundational Benchmarks to Cutting-Edge Reasoning] (https://arxiv.org/pdf/2406.19307)
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Evaluation of causal ability of LLM and VLM by prompt (in-context learning, ….), factual knowledge
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Improve the model/framework performance on causal task (four levels: causality discovery, association, intervention, counteractuals)
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Spurious relation elimination between features and prediction by causality inference on downstream tasks (mainly interventions, Do(), backdoor and frontdoor adjustment), aiming to improve model performance with consideration of causal inference
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Domain adaptation of task with causal learning (related to #3) and the relationship between causality and generalization (exist or not) and why (probing task)
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Bias elimination from Dataset or modality by causal inference
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Metrics and benchmark for causal ability evaluation
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ICLR 2024 [CAN LARGE LANGUAGE MODELS INFER CAUSATION FROM CORRELATION] (https://arxiv.org/abs/2306.05836)
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NIPS 2023 [CLADDER: Assessing Causal Reasoning in Language Models] (https://arxiv.org/abs/2312.04350)
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ACL 2023 [A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models] (https://arxiv.org/abs/2210.12023)
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Blog [Do causal predictors generalize better to new domains?] (https://www.aimodels.fyi/papers/arxiv/do-causal-predictors-generalize-better-to-new)
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EMNLP 2024 [CELLO: Causal Evaluation of Large Vision-Language Models] (https://aclanthology.org/2024.emnlp-main.1247.pdf)
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NAACL [Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance] (https://arxiv.org/abs/2205.02293)
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EMNLP 2024 [The Causal Influence of Grammatical Gender on Distributional Semantics] (https://arxiv.org/pdf/2311.18567)
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MM 2022 [Counterfactual Reasoning for Out-of-distribution Multimodal Sentiment Analysis] (https://arxiv.org/pdf/2207.11652)
- EMNLP 2024 [CELLO: Causal Evaluation of Large Vision-Language Models] (https://aclanthology.org/2024.emnlp-main.1077.pdf)
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Arxiv 2024 [On the Causal Nature of Sentiment Analysis] (https://arxiv.org/abs/2404.11055)
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COLING 2022 [Causal Intervention Improves Implicit Sentiment Analysis] (https://arxiv.org/abs/2208.09329)
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ACL 2024 [DINER- Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal Inference] (https://arxiv.org/abs/2403.01166)
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ICLR 2025 reject [MULTIMODAL SENTIMENT ANALYSIS BASED ON CAUSAL REASONING] (https://arxiv.org/pdf/2412.07292)
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MM 2022 [Counterfactual reasoning for out-of-distribution multimodal sentiment analysis] (https://arxiv.org/pdf/2207.11652)
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Information Fusion [AtCAF- Attention-based causality-aware fusion network for multimodal sentiment analysis] (https://www.sciencedirect.com/science/article/pii/S1566253524005037)
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AAAI 2024 [Causal walk: Debiasing multi-hop fact verification with front-door adjustment] (https://arxiv.org/abs/2403.02698)
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ACL 2024 [CHECKWHY: Causal Fact Verification via Argument Structure] (https://arxiv.org/pdf/2408.10918)
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ACL 2023 [Causal Intervention and Counterfactual Reasoning for Multi-modal Fake News Detection] (https://aclanthology.org/2023.acl-long.37/)
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AAAI 2024 [Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples] (https://arxiv.org/abs/2312.13628)
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SIGKDD 2021 [Causal understanding of fake news dissemination on social media] (https://arxiv.org/pdf/2010.10580)
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CVPR 2021 [Counterfactual VQA: A Cause-Effect Look at Language Bias] (https://arxiv.org/abs/2006.04315)
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EMNLP 2022 [Distilling Causal Effect from Miscellaneous Other-Class for Continual Named Entity Recognition] (https://aclanthology.org/2022.emnlp-main.236/)
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ACL 2021 [De-biasing distantly supervised named entity recognition via causal intervention] (https://arxiv.org/abs/2106.09233)
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CVPR 2023 [Discovering the Real Association: Multimodal Causal Reasoning in Video Question Answering] (https://openaccess.thecvf.com/content/CVPR2023/papers/Zang_Discovering_the_Real_Association_Multimodal_Causal_Reasoning_in_Video_Question_CVPR_2023_paper.pdf)
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ACL 2023 [Causal Intervention for Mitigating Name Bias in Machine Reading Comprehension] (https://aclanthology.org/2023.findings-acl.812/)
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ACL 2024 [Identifying while Learning for Document Event Causality Identification] (https://arxiv.org/pdf/2405.20608)
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IJCAI 2019 [Learning disentangled semantic representation for domain adaptation] (https://arxiv.org/abs/2012.11807)
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AAAI 2024 [Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants] (https://arxiv.org/abs/2312.11934)
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NIPS 2021 [A Causal Lens for Controllable Text Generation] (https://arxiv.org/abs/2201.09119)
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AAAI 2021 [Time Series Domain Adaptation via Sparse Associative Structure Alignment] (https://arxiv.org/abs/2012.11797)
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COLING 2022 [Incorporating Causal Analysis into Diversified and Logical Response Generation] (https://aclanthology.org/2022.coling-1.30v2.pdf)
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CVPR 2024 [CaDeT- a Causal Disentanglement Approach for Robust Trajectory Prediction in Autonomous Driving] (https://openaccess.thecvf.com/content/CVPR2024/papers/Pourkeshavarz_CaDeT_a_Causal_Disentanglement_Approach_for_Robust_Trajectory_Prediction_in_CVPR_2024_paper.pdf)
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ICML 2024 [CauDiTS: Causal Disentangled Domain Adaptation of Multivariate Time Series] (https://openreview.net/pdf?id=lsavZkUjFZ)
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PLMR 2022 [Partial disentanglement for domain adaptation] (https://proceedings.mlr.press/v162/kong22a.html)
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Arxiv 2024 [On the Identification of Temporally Causal Representation with Instantaneous Dependence] (https://arxiv.org/abs/2405.15325)
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Arxiv 2024 [From Orthogonality to Dependency- Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals] (https://arxiv.org/abs/2405.16083)
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NIPS 2024 [Subspace Identification for Multi-Source Domain Adaptation] (https://arxiv.org/abs/2310.04723)
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ICML 2022 [Causal Transformer for Estimating Counterfactual Outcomes] (https://proceedings.mlr.press/v162/melnychuk22a.html)
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NIPS 2024 [Causal Contrastive Learning for Counterfactual Regression Over Time] (https://arxiv.org/abs/2406.00535)
- CVPR 2022 [Show, Deconfound and Tell: Image Captioning with Causal Inference] (https://openaccess.thecvf.com/content/CVPR2022/papers/Liu_Show_Deconfound_and_Tell_Image_Captioning_With_Causal_Inference_CVPR_2022_paper.pdf))
- ICLR 2024 [Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning] (https://arxiv.org/abs/2406.03234) (https://www.sanghacklee.me/assets/2024-ICML-CRL-poster.pdf)
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CVPR 2024 [Causal-CoG- A Causal-Effect Look at Context Generation for Boosting Multi-modal Language Models] (https://arxiv.org/abs/2312.06685)
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ACL 2022 [How pre-trained language models capture factual knowledge? a causal-inspired analysis] (https://arxiv.org/abs/2203.16747)
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EMNLP 2024 [LLMs Are Prone to Fallacies in Causal Inference] (https://aclanthology.org/2024.emnlp-main.590.pdf)
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EMNLP 2024 [Can Large Language Models Learn Independent Causal Mechanisms?] (https://aclanthology.org/2024.emnlp-main.381.pdf)
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ACL 2024 [Causal-Guided Active Learning for Debiasing Large Language Models] (https://arxiv.org/pdf/2408.12942?)
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Arxiv 2024 [Causal Evaluation of Language Models] (https://arxiv.org/abs/2405.00622)
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ACL 2024 [CAUSALCITE: A Causal Formulation of Paper Citations] (https://arxiv.org/abs/2311.02790)
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CVPR 2021 [Causal attention for vision-language tasks] (https://arxiv.org/abs/2103.03493)
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ACL 2024 [AGR: Reinforced Causal Agent-Guided Self-explaining Rationalization] (https://aclanthology.org/2024.acl-short.47.pdf)
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CVPR 2024 [Vision-and-Language Navigation via Causal Learning] (https://openaccess.thecvf.com/content/CVPR2024/papers/Wang_Vision-and-Language_Navigation_via_Causal_Learning_CVPR_2024_paper.pdf)
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ICML 2024 [Adaptive Online Experimental Design for Causal Discovery] (https://arxiv.org/abs/2405.11548)
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IJCAI 2019 [CounterFactual Regression with Importance Sampling Weights] (https://www.ijcai.org/proceedings/2019/0815.pdf)
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Arxiv 2024 [Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality] (https://arxiv.org/abs/2410.04780)
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COLM 2024 [LLM as a Mastermind: A Survey of Strategic Reasoning with Large Language Models] (https://arxiv.org/abs/2404.01230)
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Arxiv 2024 [Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey] (https://arxiv.org/abs/2403.09606)
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CVPR 2024 [Link-Context Learning for Multimodal LLMs] (https://openaccess.thecvf.com/content/CVPR2024/papers/Tai_Link-Context_Learning_for_Multimodal_LLMs_CVPR_2024_paper.pdf)