---
title: "Soujanya Poria — all works — Elamur Research"
description: "All 36 works of Soujanya Poria in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
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---
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# Soujanya Poria — all works

36 works · [← Soujanya Poria](https://md.research.elamur.ai/free/en/authors/soujanya-poria/)

1. **[Tensor Fusion Network for Multimodal Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/zadeh-2017-tensor-fusion-network-multimodal-sentiment/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Amir Zadeh, Minghai Chen, Soujanya Poria, et al.*2017 · 2,125 citations*
2. **[MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations](https://md.research.elamur.ai/free/en/papers/poria-2018-meld-multimodal-multi-party-dataset/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, et al.*2018 · 1,674 citations*
3. **[Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph](https://md.research.elamur.ai/free/en/papers/zadeh-2018-multimodal-language-analysis-wild-cmu/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**AmirAli Bagher Zadeh, Paul Pu Liang, Soujanya Poria, et al.*2018 · 1,522 citations*
4. **[Context-Dependent Sentiment Analysis in User-Generated Videos](https://md.research.elamur.ai/free/en/papers/poria-2017-context-dependent-sentiment-analysis-user/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Soujanya Poria, Erik Cambria, Devamanyu Hazarika, et al.*2017 · 1,029 citations*
5. **[DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation](https://md.research.elamur.ai/free/en/papers/ghosal-2019-dialoguegcn-graph-convolutional-neural-network/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Deepanway Ghosal, Navonil Majumder, Soujanya Poria, et al.*2019 · 853 citations*
6. **[Deep Convolutional Neural Network Textual Features and Multiple Kernel Learning for Utterance-level Multimodal Sentiment Analysis ↗](https://aclanthology.org/D15-1303/) Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing · no summary yet**Soujanya Poria, Erik Cambria, Alexander Gelbukh*2015 · 568 citations*
7. **[Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/han-2021-improving-multimodal-fusion-hierarchical-mutual/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wei Han, Hui Chen, Soujanya Poria*2021 · 564 citations*
8. **[Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos](https://md.research.elamur.ai/free/en/papers/hazarika-2018-conversational-memory-network-emotion-recognition/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Devamanyu Hazarika, Soujanya Poria, Amir Zadeh, et al.*2018 · 543 citations*
9. **[ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection](https://md.research.elamur.ai/free/en/papers/hazarika-2018-icon-interactive-conversational-memory-network/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Devamanyu Hazarika, Soujanya Poria, Rada Mihalcea, et al.*2018 · 526 citations*
10. **[COSMIC: COmmonSense knowledge for eMotion Identification in Conversations ↗](https://aclanthology.org/2020.findings-emnlp.224/) Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yet**Deepanway Ghosal et al.*2020 · 447 citations*
11. **[LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models](https://md.research.elamur.ai/free/en/papers/hu-2023-llm-adapters-adapter-family-parameter/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhiqiang Hu, Lei Wang, Yihuai Lan, et al.*2023 · 401 citations*
12. **[A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks](https://md.research.elamur.ai/free/en/papers/poria-2016-deeper-look-into-sarcastic-tweets/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Soujanya Poria, Erik Cambria, Devamanyu Hazarika, et al.*2016 · 335 citations*
13. **[Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper)](https://md.research.elamur.ai/free/en/papers/castro-2019-towards-multimodal-sarcasm-detection-obviously/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Santiago Castro, Devamanyu Hazarika, Verónica Pérez-Rosas, et al.*2019 · 320 citations*
14. **[MIME: MIMicking Emotions for Empathetic Response Generation](https://md.research.elamur.ai/free/en/papers/majumder-2020-mime-mimicking-emotions-empathetic-response/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Navonil Majumder, Pengfei Hong, Shanshan Peng, et al.*2020 · 278 citations*
15. **[Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis ↗](https://aclanthology.org/N19-1034/) Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yet**Md Shad Akhtar et al.*2019 · 230 citations*
16. **[Towards Multimodal Sarcasm Detection (An \textitObviously Perfect Paper)](https://md.research.elamur.ai/free/en/papers/castro-2019-multimodal-sarcasm-detection-textitobviously-perfect/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Santiago Castro, Devamanyu Hazarika, Verónica Pérez-Rosas, et al.*2019 · 228 citations*
17. **[Anaphora and Coreference Resolution: A Review ↗](https://arxiv.org/abs/1805.11824) arXiv:1805.11824 · no summary yet**Rhea Sukthanker et al.*2018 · 226 citations*
18. **[Contextual Inter-modal Attention for Multi-modal Sentiment Analysis ↗](https://aclanthology.org/D18-1382/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Deepanway Ghosal et al.*2018 · 204 citations*
19. **[AffectiveSpace 2: Enabling Affective Intuition for Concept-Level Sentiment Analysis ↗](https://doi.org/10.1609/aaai.v29i1.9230) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Erik Cambria et al.*2015 · 199 citations*
20. **[IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis ↗](https://aclanthology.org/D18-1377/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Navonil Majumder et al.*2018 · 144 citations*
21. **[RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction](https://md.research.elamur.ai/free/en/papers/chia-2022-relationprompt-leveraging-prompts-generate-synthetic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yew Ken Chia, Lidong Bing, Soujanya Poria, et al.*2022 · 141 citations*
22. **[SeNTU: Sentiment Analysis of Tweets by Combining a Rule-based Classifier with Supervised Learning ↗](https://aclanthology.org/S15-2108/) Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015) · no summary yet**Prerna Chikersal, Soujanya Poria, Erik Cambria*2015 · 118 citations*
23. **[Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources ↗](https://arxiv.org/abs/2305.13269) arXiv:2305.13269 · no summary yet**Xingxuan Li et al.*2023 · 112 citations*
24. **[Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment ↗](https://arxiv.org/abs/2308.09662) arXiv:2308.09662 · no summary yet**Rishabh Bhardwaj, Soujanya Poria*2023 · 108 citations*
25. **[MTAG: Modal-Temporal Attention Graph for Unaligned Human Multimodal Language Sequences ↗](https://aclanthology.org/2021.naacl-main.79/) Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Jianing Yang et al.*2021 · 106 citations*
26. [**INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language Models arXiv:2306.04757**Yew Ken Chia, Pengfei Hong, Lidong Bing, et al.*2023 · 96 citations*](https://md.research.elamur.ai/free/en/papers/chia-2023-instructeval-towards-holistic-evaluation-instruction/)
27. **[Large Language Models for Automated Open-domain Scientific Hypotheses Discovery ↗](https://arxiv.org/abs/2309.02726) arXiv:2309.02726 · no summary yet**Zonglin Yang et al.*2023 · 96 citations*
28. **[Modeling Inter-Aspect Dependencies for Aspect-Based Sentiment Analysis ↗](https://aclanthology.org/N18-2043/) Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers) · no summary yet**Devamanyu Hazarika et al.*2018 · 94 citations*
29. **[CASCADE: Contextual Sarcasm Detection in Online Discussion Forums](https://md.research.elamur.ai/free/en/papers/hazarika-2018-cascade-contextual-sarcasm-detection-online/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Devamanyu Hazarika, Soujanya Poria, Sruthi Gorantla, et al.*2018 · 89 citations*
30. **[KinGDOM: Knowledge-Guided DOMain Adaptation for Sentiment Analysis ↗](https://aclanthology.org/2020.acl-main.292/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Deepanway Ghosal et al.*2020 · 80 citations*
31. **[Language Models are Homer Simpson! Safety Re-Alignment of Fine-tuned Language Models through Task Arithmetic](https://md.research.elamur.ai/free/en/papers/bhardwaj-2024-language-models-are-homer-simpson/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Rishabh Bhardwaj, Duc Anh Do, Soujanya Poria*2024 · 59 citations*
32. [**Contrastive Chain-of-Thought Prompting arXiv:2311.09277**Yew Ken Chia, Guizhen Chen, Luu Anh Tuan, et al.*2023 · 45 citations*](https://md.research.elamur.ai/free/en/papers/chia-2023-contrastive-chain-thought-prompting/)
33. **[MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses ↗](https://arxiv.org/abs/2410.07076) arXiv:2410.07076 · no summary yet**Zonglin Yang et al.*2024 · 36 citations*
34. **[M-LongDoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework](https://md.research.elamur.ai/free/en/papers/chia-2025-m-longdoc-benchmark-multimodal-super/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yew Ken Chia, Liying Cheng, Hou Pong Chan, et al.*2025 · 21 citations*
35. **[So Different Yet So Alike! Constrained Unsupervised Text Style Transfer ↗](https://aclanthology.org/2022.acl-long.32/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Abhinav Ramesh Kashyap et al.*2022 · 19 citations*
36. **[DoubleMix: Simple Interpolation-Based Data Augmentation for Text Classification ↗](https://aclanthology.org/2022.coling-1.409/) Proceedings of the 29th International Conference on Computational Linguistics · no summary yet**Hui Chen et al.*2022 · 13 citations*
