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ORCIDRada Mihalcea
Rada Flavia Mihalcea
Person information
- affiliation: University of Michigan, Ann Arbor, MI, USA
- affiliation: University of North Texas, Denton, USA
- award (2008): Presidential Early Career Award for Scientists and Engineers
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2020 – today
- 2024
[c300]Naihao Deng, Zhenjie Sun, Ruiqi He, Aman Sikka, Yulong Chen, Lin Ma, Yue Zhang, Rada Mihalcea:
Tables as Texts or Images: Evaluating the Table Reasoning Ability of LLMs and MLLMs. ACL (Findings) 2024: 407-426- [c299]Sahand Sabour, Siyang Liu, Zheyuan Zhang, June M. Liu, Jinfeng Zhou, Alvionna S. Sunaryo, Tatia M. C. Lee, Rada Mihalcea, Minlie Huang:
EmoBench: Evaluating the Emotional Intelligence of Large Language Models. ACL (1) 2024: 5986-6004 - [c298]Katsumi Ibaraki, Winston Wu, Lu Wang, Rada Mihalcea:
Analyzing Occupational Distribution Representation in Japanese Language Models. LREC/COLING 2024: 959-973 - [c297]Oana Ignat, Longju Bai, Joan C. Nwatu, Rada Mihalcea:
Annotations on a Budget: Leveraging Geo-Data Similarity to Balance Model Performance and Annotation Cost. LREC/COLING 2024: 1239-1259 - [c296]Do June Min, Verónica Pérez-Rosas, Ken Resnicow, Rada Mihalcea:
Dynamic Reward Adjustment in Multi-Reward Reinforcement Learning for Counselor Reflection Generation. LREC/COLING 2024: 5437-5449 - [c295]Oana Ignat, Zhijing Jin, Artem Abzaliev, Laura Biester, Santiago Castro, Naihao Deng, Xinyi Gao, Aylin Gunal, Jacky He, Ashkan Kazemi, Muhammad Khalifa, Namho Koh, Andrew Lee, Siyang Liu, Do June Min, Shinka Mori, Joan Nwatu, Verónica Pérez-Rosas, Siqi Shen, Zekun Wang, Winston Wu, Rada Mihalcea:
Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models. LREC/COLING 2024: 8050-8094 - [c294]Shinka Mori, Oana Ignat, Andrew Lee, Rada Mihalcea:
Towards Algorithmic Fidelity: Mental Health Representation across Demographics in Synthetic vs. Human-generated Data. LREC/COLING 2024: 16378-16391 - [c293]Artem Abzaliev, Humberto Pérez Espinosa, Rada Mihalcea:
Towards Dog Bark Decoding: Leveraging Human Speech Processing for Automated Bark Classification. LREC/COLING 2024: 16480-16486 - [c292]Andrew Lee, Jonathan K. Kummerfeld, Lawrence C. An, Rada Mihalcea:
A Comparative Multidimensional Analysis of Empathetic Systems. EACL (1) 2024: 179-189 - [c291]Zhijing Jin, Jiarui Liu, Zhiheng Lyu, Spencer Poff, Mrinmaya Sachan, Rada Mihalcea, Mona T. Diab, Bernhard Schölkopf:
Can Large Language Models Infer Causation from Correlation? ICLR 2024 - [c290]Andrew Lee, Xiaoyan Bai, Itamar Pres, Martin Wattenberg, Jonathan K. Kummerfeld, Rada Mihalcea:
A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity. ICML 2024 - [c289]Siqi Shen, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Soujanya Poria, Rada Mihalcea:
Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense. NAACL-HLT 2024: 5668-5680 - [i112]Andrew Lee, Xiaoyan Bai, Itamar Pres, Martin Wattenberg, Jonathan K. Kummerfeld, Rada Mihalcea:
A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity. CoRR abs/2401.01967 (2024) - [i111]Ian Stewart, Rada Mihalcea:
Whose wife is it anyway? Assessing bias against same-gender relationships in machine translation. CoRR abs/2401.04972 (2024) - [i110]Pengfei Hong, Deepanway Ghosal, Navonil Majumder, Somak Aditya, Rada Mihalcea, Soujanya Poria:
Stuck in the Quicksand of Numeracy, Far from AGI Summit: Evaluating LLMs' Mathematical Competency through Ontology-guided Perturbations. CoRR abs/2401.09395 (2024) - [i109]Sahand Sabour, Siyang Liu, Zheyuan Zhang, June M. Liu, Jinfeng Zhou, Alvionna S. Sunaryo, Juanzi Li, Tatia M. C. Lee, Rada Mihalcea, Minlie Huang:
EmoBench: Evaluating the Emotional Intelligence of Large Language Models. CoRR abs/2402.12071 (2024) - [i108]Naihao Deng, Zhenjie Sun, Ruiqi He, Aman Sikka, Yulong Chen, Lin Ma, Yue Zhang, Rada Mihalcea:
Tables as Images? Exploring the Strengths and Limitations of LLMs on Multimodal Representations of Tabular Data. CoRR abs/2402.12424 (2024) - [i107]Hanchen Xia, Feng Jiang, Naihao Deng, Cunxiang Wang, Guojiang Zhao, Rada Mihalcea, Yue Zhang:
SQL-CRAFT: Text-to-SQL through Interactive Refinement and Enhanced Reasoning. CoRR abs/2402.14851 (2024) - [i106]Santiago Castro, Amir Ziai, Avneesh Saluja, Zhuoning Yuan, Rada Mihalcea:
CLoVe: Encoding Compositional Language in Contrastive Vision-Language Models. CoRR abs/2402.15021 (2024) - [i105]David Danks, Rada Mihalcea, Katie Siek, Mona Singh, Brian Dixon, Haley Griffin:
Future of Pandemic Prevention and Response CCC Workshop Report. CoRR abs/2403.00096 (2024) - [i104]Oana Ignat, Longju Bai, Joan Nwatu, Rada Mihalcea:
Annotations on a Budget: Leveraging Geo-Data Similarity to Balance Model Performance and Annotation Cost. CoRR abs/2403.07687 (2024) - [i103]Do June Min, Verónica Pérez-Rosas, Kenneth Resnicow, Rada Mihalcea:
Dynamic Reward Adjustment in Multi-Reward Reinforcement Learning for Counselor Reflection Generation. CoRR abs/2403.13578 (2024) - [i102]Shinka Mori, Oana Ignat, Andrew Lee, Rada Mihalcea:
Towards Algorithmic Fidelity: Mental Health Representation across Demographics in Synthetic vs. Human-generated Data. CoRR abs/2403.16909 (2024) - [i101]Siyang Liu, Trish Maturi, Siqi Shen, Rada Mihalcea:
The Generation Gap: Exploring Age Bias in Large Language Models. CoRR abs/2404.08760 (2024) - [i100]Navonil Majumder, Chia-Yu Hung, Deepanway Ghosal, Wei-Ning Hsu, Rada Mihalcea, Soujanya Poria:
Tango 2: Aligning Diffusion-based Text-to-Audio Generations through Direct Preference Optimization. CoRR abs/2404.09956 (2024) - [i99]Zhiheng Lyu, Zhijing Jin, Fernando Gonzalez, Rada Mihalcea, Bernhard Schölkopf, Mrinmaya Sachan:
On the Causal Nature of Sentiment Analysis. CoRR abs/2404.11055 (2024) - [i98]Oana Ignat, Gayathri Ganesh Lakshmy, Rada Mihalcea:
Cross-cultural Inspiration Detection and Analysis in Real and LLM-generated Social Media Data. CoRR abs/2404.12933 (2024) - [i97]Oana Ignat, Xiaomeng Xu, Rada Mihalcea:
MAiDE-up: Multilingual Deception Detection of GPT-generated Hotel Reviews. CoRR abs/2404.12938 (2024) - [i96]Giorgio Piatti, Zhijing Jin, Max Kleiman-Weiner, Bernhard Schölkopf, Mrinmaya Sachan, Rada Mihalcea:
Cooperate or Collapse: Emergence of Sustainability Behaviors in a Society of LLM Agents. CoRR abs/2404.16698 (2024) - [i95]Artem Abzaliev, Humberto Pérez Espinosa, Rada Mihalcea:
Towards Dog Bark Decoding: Leveraging Human Speech Processing for Automated Bark Classification. CoRR abs/2404.18739 (2024) - [i94]Siqi Shen, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Soujanya Poria, Rada Mihalcea:
Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense. CoRR abs/2405.04655 (2024) - [i93]Zhijing Jin, Nils Heil, Jiarui Liu, Shehzaad Dhuliawala, Yahang Qi, Bernhard Schölkopf, Rada Mihalcea, Mrinmaya Sachan:
Implicit Personalization in Language Models: A Systematic Study. CoRR abs/2405.14808 (2024) - [i92]Roberto Ceraolo, Dmitrii Kharlapenko, Amélie Reymond, Rada Mihalcea, Mrinmaya Sachan, Bernhard Schölkopf, Zhijing Jin:
CausalQuest: Collecting Natural Causal Questions for AI Agents. CoRR abs/2405.20318 (2024) - [i91]David Romero, Chenyang Lyu, Haryo Akbarianto Wibowo, Teresa Lynn, Injy Hamed, Aditya Nanda Kishore, Aishik Mandal, Alina Dragonetti, Artem Abzaliev, Atnafu Lambebo Tonja, Bontu Fufa Balcha, Chenxi Whitehouse, Christian Salamea, Dan John Velasco, David Ifeoluwa Adelani, David Le Meur, Emilio Villa-Cueva, Fajri Koto, Fauzan Farooqui, Frederico Belcavello, Ganzorig Batnasan, Gisela Vallejo, Grainne Caulfield, Guido Ivetta, Haiyue Song, Henok Biadglign Ademtew, Hernán Maina, Holy Lovenia, Israel Abebe Azime, Jan Christian Blaise Cruz, Jay P. Gala, Jiahui Geng, Jesús-Germán Ortiz-Barajas, Jinheon Baek, Jocelyn Dunstan, Laura Alonso Alemany, Kumaranage Ravindu Yasas Nagasinghe, Luciana Benotti, Luis Fernando D'Haro, Marcelo Viridiano, Marcos Estecha-Garitagoitia, Maria Camila Buitrago Cabrera, Mario Rodríguez-Cantelar, Mélanie Jouitteau, Mihail Mihaylov, Mohamed Fazli Mohamed Imam, Muhammad Farid Adilazuarda, Munkhjargal Gochoo, Munkh-Erdene Otgonbold, Naome A. Etori, Olivier Niyomugisha, Paula Mónica Silva, Pranjal A. Chitale, Raj Dabre, Rendi Chevi, Ruochen Zhang, Ryandito Diandaru, Samuel Cahyawijaya, Santiago Góngora, Soyeong Jeong, Sukannya Purkayastha, Tatsuki Kuribayashi, Thanmay Jayakumar, Tiago Timponi Torrent, Toqeer Ehsan, Vladimir Araujo, Yova Kementchedjhieva, Zara Burzo, Zheng Wei Lim, Zheng Xin Yong, Oana Ignat, Joan Nwatu, Rada Mihalcea, Thamar Solorio, Alham Fikri Aji:
CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark. CoRR abs/2406.05967 (2024) - [i90]Hua Shen, Tiffany Knearem, Reshmi Ghosh, Kenan Alkiek, Kundan Krishna, Yachuan Liu, Ziqiao Ma, Savvas Petridis, Yi-Hao Peng, Li Qiwei, Sushrita Rakshit, Chenglei Si, Yutong Xie, Jeffrey P. Bigham, Frank Bentley, Joyce Chai, Zachary C. Lipton, Qiaozhu Mei, Rada Mihalcea, Michael Terry, Diyi Yang, Meredith Ringel Morris, Paul Resnick, David Jurgens:
Towards Bidirectional Human-AI Alignment: A Systematic Review for Clarifications, Framework, and Future Directions. CoRR abs/2406.09264 (2024) - [i89]Angana Borah, Aparna Garimella, Rada Mihalcea:
Towards Region-aware Bias Evaluation Metrics. CoRR abs/2406.16152 (2024) - [i88]Zhijing Jin, Sydney Levine, Max Kleiman-Weiner, Giorgio Piatti, Jiarui Liu, Fernando Gonzalez Adauto, Francesco Ortu, András Strausz, Mrinmaya Sachan, Rada Mihalcea, Yejin Choi, Bernhard Schölkopf:
Multilingual Trolley Problems for Language Models. CoRR abs/2407.02273 (2024) - [i87]Joan Nwatu, Oana Ignat, Rada Mihalcea:
Uplifting Lower-Income Data: Strategies for Socioeconomic Perspective Shifts in Vision-Language Models. CoRR abs/2407.02623 (2024) - 2023
- [j52]Aparna Garimella, Carmen Banea, Rada Mihalcea:
Reflection of Demographic Background on Word Usage. Comput. Linguistics 49(2): 373-394 (2023) - [j51]Ambuj Mehrish
, Navonil Majumder, Rishabh Bharadwaj, Rada Mihalcea, Soujanya Poria:
A review of deep learning techniques for speech processing. Inf. Fusion 99: 101869 (2023) - [j50]Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, Rada Mihalcea:
Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research. IEEE Trans. Affect. Comput. 14(1): 108-132 (2023) - [c288]Laura Biester, James W. Pennebaker, Rada Mihalcea:
Temporal Arcs of Mental Health: Patterns Behind Changes in Depression over Time. ACIIW 2023: 1-4 - [c287]Do June Min, Verónica Pérez-Rosas, Rada Mihalcea:
Navigating Data Scarcity: Pretraining for Medical Utterance Classification. ClinicalNLP@ACL 2023: 59-68 - [c286]Andrew Lee, Jonathan K. Kummerfeld, Larry An, Rada Mihalcea:
Empathy Identification Systems are not Accurately Accounting for Context. EACL 2023: 1678-1687 - [c285]Fernando Gonzalez Adauto, Zhijing Jin, Bernhard Schölkopf, Tom Hope, Mrinmaya Sachan, Rada Mihalcea:
Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good. EMNLP (Findings) 2023: 415-438 - [c284]Winston Wu, Lu Wang, Rada Mihalcea:
Cross-Cultural Analysis of Human Values, Morals, and Biases in Folk Tales. EMNLP 2023: 5113-5125 - [c283]Do June Min, Verónica Pérez-Rosas, Ken Resnicow, Rada Mihalcea:
VERVE: Template-based ReflectiVE Rewriting for MotiVational IntErviewing. EMNLP (Findings) 2023: 10289-10302 - [c282]Joan Nwatu, Oana Ignat, Rada Mihalcea:
Bridging the Digital Divide: Performance Variation across Socio-Economic Factors in Vision-Language Models. EMNLP 2023: 10686-10702 - [c281]Yufan Wu, Yinghui He, Yilin Jia, Rada Mihalcea, Yulong Chen, Naihao Deng:
Hi-ToM: A Benchmark for Evaluating Higher-Order Theory of Mind Reasoning in Large Language Models. EMNLP (Findings) 2023: 10691-10706 - [c280]Deepanway Ghosal, Navonil Majumder, Roy Ka-Wei Lee, Rada Mihalcea, Soujanya Poria:
Language Guided Visual Question Answering: Elevate Your Multimodal Language Model Using Knowledge-Enriched Prompts. EMNLP (Findings) 2023: 12096-12102 - [c279]Naihao Deng, Xinliang Frederick Zhang, Siyang Liu, Winston Wu, Lu Wang, Rada Mihalcea:
You Are What You Annotate: Towards Better Models through Annotator Representations. EMNLP (Findings) 2023: 12475-12498 - [c278]Siyang Liu, Naihao Deng, Sahand Sabour, Yilin Jia, Minlie Huang, Rada Mihalcea:
Task-Adaptive Tokenization: Enhancing Long-Form Text Generation Efficacy in Mental Health and Beyond. EMNLP 2023: 15264-15281 - [c277]Kais Riani, Salem Sharak, Mohamed Abouelenien, Mihai Burzo, Rada Mihalcea, John Elson, Clay Maranville, Kwaku O. Prakah-Asante, Waqas Manzoor:
Non-Contact Based Modeling of Enervation. FG 2023: 1-8 - [c276]Yingting Li, Ambuj Mehrish, Rishabh Bhardwaj, Navonil Majumder, Bo Cheng, Shuai Zhao, Amir Zadeh, Rada Mihalcea, Soujanya Poria:
Evaluating Parameter-Efficient Transfer Learning Approaches on SURE Benchmark for Speech Understanding. ICASSP 2023: 1-5 - [c275]Qinyue Tan, Ashkan Kazemi, Rada Mihalcea:
Text-Based Games as a Challenging Benchmark for Large Language Models. Tiny Papers @ ICLR 2023 - [c274]MeiXing Dong, Ruixuan Sun, Laura Biester, Rada Mihalcea:
We Are in This Together: Quantifying Community Subjective Wellbeing and Resilience. ICWSM 2023: 185-196 - [c273]Yujian Liu, Laura Biester, Rada Mihalcea:
Improving Mental Health Classifier Generalization with Pre-diagnosis Data. ICWSM 2023: 566-577 - [c272]Ashkan Kazemi, Artem Abzaliev, Naihao Deng, Rui Hou, Scott A. Hale, Verónica Pérez-Rosas, Rada Mihalcea:
Query Rewriting for Effective Misinformation Discovery. IJCNLP (1) 2023: 398-407 - [c271]Jiaai Xu, Rada Mihalcea, Elena Frank, Srijan Sen, Maggie Makar:
Uncovering the Varied Impact of Behavioral Change Messages on Population Groups. MLHC 2023: 906-922 - [c270]Santiago Castro, Oana Ignat, Rada Mihalcea:
Scalable Performance Analysis for Vision-Language Models. *SEM@ACL 2023: 284-294 - [i86]Zhijing Jin, Rada Mihalcea:
Natural Language Processing for Policymaking. CoRR abs/2302.03490 (2023) - [i85]Yingting Li, Ambuj Mehrish, Shuai Zhao, Rishabh Bhardwaj, Amir Zadeh, Navonil Majumder, Rada Mihalcea, Soujanya Poria:
Evaluating Parameter-Efficient Transfer Learning Approaches on SURE Benchmark for Speech Understanding. CoRR abs/2303.03267 (2023) - [i84]Zhiheng Lyu, Zhijing Jin, Justus Mattern, Rada Mihalcea, Mrinmaya Sachan, Bernhard Schölkopf:
Psychologically-Inspired Causal Prompts. CoRR abs/2305.01764 (2023) - [i83]Fernando Gonzalez, Zhijing Jin, Bernhard Schölkopf, Tom Hope, Mrinmaya Sachan, Rada Mihalcea:
Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good. CoRR abs/2305.05471 (2023) - [i82]Oana Ignat, Zhijing Jin, Artem Abzaliev, Laura Biester, Santiago Castro, Naihao Deng, Xinyi Gao, Aylin Gunal, Jacky He, Ashkan Kazemi, Muhammad Khalifa, Namho Koh, Andrew Lee, Siyang Liu, Do June Min, Shinka Mori, Joan Nwatu, Verónica Pérez-Rosas, Siqi Shen, Zekun Wang, Winston Wu, Rada Mihalcea:
A PhD Student's Perspective on Research in NLP in the Era of Very Large Language Models. CoRR abs/2305.12544 (2023) - [i81]Naihao Deng, Yikai Liu, Mingye Chen, Winston Wu, Siyang Liu, Yulong Chen, Yue Zhang, Rada Mihalcea:
EASE: An Easily-Customized Annotation System Powered by Efficiency Enhancement Mechanisms. CoRR abs/2305.14169 (2023) - [i80]Yiwen Ding, Jiarui Liu, Zhiheng Lyu, Kun Zhang, Bernhard Schölkopf, Zhijing Jin, Rada Mihalcea:
Voices of Her: Analyzing Gender Differences in the AI Publication World. CoRR abs/2305.14597 (2023) - [i79]Naihao Deng, Siyang Liu, Xinliang Frederick Zhang, Winston Wu, Lu Wang, Rada Mihalcea:
You Are What You Annotate: Towards Better Models through Annotator Representations. CoRR abs/2305.14663 (2023) - [i78]Santiago Castro, Oana Ignat, Rada Mihalcea:
Scalable Performance Analysis for Vision-Language Models. CoRR abs/2305.18786 (2023) - [i77]Zhijing Jin, Jiarui Liu, Zhiheng Lyu, Spencer Poff, Mrinmaya Sachan, Rada Mihalcea, Mona T. Diab, Bernhard Schölkopf:
Can Large Language Models Infer Causation from Correlation? CoRR abs/2306.05836 (2023) - [i76]Ashkan Kazemi, Rada Mihalcea:
Misinformation as Information Pollution. CoRR abs/2306.12466 (2023) - [i75]Oana Ignat, Santiago Castro, Weiji Li, Rada Mihalcea:
Human Action Co-occurrence in Lifestyle Vlogs using Graph Link Prediction. CoRR abs/2309.06219 (2023) - [i74]Siyang Liu, Naihao Deng, Sahand Sabour, Yilin Jia, Minlie Huang, Rada Mihalcea:
Enhancing Long-form Text Generation Efficacy with Task-adaptive Tokenization. CoRR abs/2310.05317 (2023) - [i73]Yinghui He, Yufan Wu, Yilin Jia, Rada Mihalcea, Yulong Chen, Naihao Deng:
HI-TOM: A Benchmark for Evaluating Higher-Order Theory of Mind Reasoning in Large Language Models. CoRR abs/2310.16755 (2023) - [i72]Deepanway Ghosal, Navonil Majumder, Roy Ka-Wei Lee, Rada Mihalcea, Soujanya Poria:
Language Guided Visual Question Answering: Elevate Your Multimodal Language Model Using Knowledge-Enriched Prompts. CoRR abs/2310.20159 (2023) - [i71]Joan Nwatu, Oana Ignat, Rada Mihalcea:
Bridging the Digital Divide: Performance Variation across Socio-Economic Factors in Vision-Language Models. CoRR abs/2311.05746 (2023) - [i70]Do June Min, Verónica Pérez-Rosas, Kenneth Resnicow, Rada Mihalcea:
VERVE: Template-based ReflectiVE Rewriting for MotiVational IntErviewing. CoRR abs/2311.08299 (2023) - [i69]Panfeng Li, Mohamed Abouelenien, Rada Mihalcea:
Deception Detection from Linguistic and Physiological Data Streams Using Bimodal Convolutional Neural Networks. CoRR abs/2311.10944 (2023) - 2022
- [j49]Navonil Majumder, Deepanway Ghosal, Devamanyu Hazarika, Alexander F. Gelbukh, Rada Mihalcea, Soujanya Poria:
Exemplars-Guided Empathetic Response Generation Controlled by the Elements of Human Communication. IEEE Access 10: 77176-77190 (2022) - [j48]Abhinaba Roy, Deepanway Ghosal, Erik Cambria, Navonil Majumder, Rada Mihalcea, Soujanya Poria:
Improving Zero-Shot Learning Baselines with Commonsense Knowledge. Cogn. Comput. 14(6): 2212-2222 (2022) - [j47]Di Jin, Zhijing Jin, Zhiting Hu, Olga Vechtomova, Rada Mihalcea:
Deep Learning for Text Style Transfer: A Survey. Comput. Linguistics 48(1): 155-205 (2022) - [j46]Mehmet Umut Sen, Verónica Pérez-Rosas, Berrin A. Yanikoglu, Mohamed Abouelenien, Mihai Burzo, Rada Mihalcea:
Multimodal Deception Detection Using Real-Life Trial Data. IEEE Trans. Affect. Comput. 13(1): 306-319 (2022) - [j45]Kapotaksha Das, Michalis Papakostas, Kais Riani, Andrew Brian Gasiorowski, Mohamed Abouelenien, Mihai Burzo, Rada Mihalcea:
Detection and Recognition of Driver Distraction Using Multimodal Signals. ACM Trans. Interact. Intell. Syst. 12(4): 33:1-33:28 (2022) - [j44]Oana Ignat, Santiago Castro, Yuhang Zhou, Jiajun Bao, Dandan Shan, Rada Mihalcea:
When Did It Happen? Duration-informed Temporal Localization of Narrated Actions in Vlogs. ACM Trans. Multim. Comput. Commun. Appl. 18(3s): 142:1-142:18 (2022) - [c269]Ashkan Kazemi, Zehua Li, Verónica Pérez-Rosas, Scott A. Hale, Rada Mihalcea:
Matching Tweets with Applicable Fact-Checks Across Languages. DE-FACTIFY@AAAI 2022 - [c268]Charles Welch, Chenxi Gu, Jonathan K. Kummerfeld, Verónica Pérez-Rosas, Rada Mihalcea:
Leveraging Similar Users for Personalized Language Modeling with Limited Data. ACL (1) 2022: 1742-1752 - [c267]Yiqun Yao, Rada Mihalcea:
Modality-specific Learning Rates for Effective Multimodal Additive Late-fusion. ACL (Findings) 2022: 1824-1834 - [c266]Santiago Castro, Ruoyao Wang, Pingxuan Huang, Ian Stewart, Oana Ignat, Nan Liu, Jonathan C. Stroud, Rada Mihalcea:
FIBER: Fill-in-the-Blanks as a Challenging Video Understanding Evaluation Framework. ACL (1) 2022: 2925-2940 - [c265]Siqi Shen, Verónica Pérez-Rosas, Charles Welch, Soujanya Poria, Rada Mihalcea:
Knowledge Enhanced Reflection Generation for Counseling Dialogues. ACL (1) 2022: 3096-3107 - [c264]Deepanway Ghosal, Siqi Shen, Navonil Majumder, Rada Mihalcea, Soujanya Poria:
CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues. ACL (1) 2022: 5010-5028 - [c263]Su Lin Blodgett, Q. Vera Liao, Alexandra Olteanu, Rada Mihalcea, Michael J. Muller, Morgan Klaus Scheuerman, Chenhao Tan, Qian Yang:
Responsible Language Technologies: Foreseeing and Mitigating Harms. CHI Extended Abstracts 2022: 152:1-152:3 - [c262]Artem Abzaliev, Andrew Owens, Rada Mihalcea:
Towards Understanding the Relation between Gestures and Language. COLING 2022: 5507-5520 - [c261]Santiago Castro, Naihao Deng, Pingxuan Huang, Mihai Burzo, Rada Mihalcea:
In-the-Wild Video Question Answering. COLING 2022: 5613-5635 - [c260]Do June Min, Verónica Pérez-Rosas, Kenneth Resnicow, Rada Mihalcea:
PAIR: Prompt-Aware margIn Ranking for Counselor Reflection Scoring in Motivational Interviewing. EMNLP 2022: 148-158 - [c259]Zhijing Jin, Abhinav Lalwani, Tejas Vaidhya, Xiaoyu Shen, Yiwen Ding, Zhiheng Lyu, Mrinmaya Sachan, Rada Mihalcea, Bernhard Schölkopf:
Logical Fallacy Detection. EMNLP (Findings) 2022: 7180-7198 - [c258]Deepanway Ghosal, Navonil Majumder, Rada Mihalcea, Soujanya Poria:
Two is Better than Many? Binary Classification as an Effective Approach to Multi-Choice Question Answering. EMNLP 2022: 10158-10166 - [c257]Gauri Kambhatla, Ian Stewart, Rada Mihalcea:
Surfacing Racial Stereotypes through Identity Portrayal. FAccT 2022: 1604-1615 - [c256]Kapotaksha Das, Mohamed Abouelenien, Mihai Burzo, Rada Mihalcea:
Towards Imbalanced Multiclass Driver Distraction Identification. FLAIRS 2022 - [c255]Rada Mihalcea:
Keynote Lecture Current Progresses in Natural Language Processing. ICCP 2022: viii - [c254]Salem Sharak, Kapotaksha Das, Kais Riani, Mohamed Abouelenien, Mihai Burzo, Rada Mihalcea:
Contact Versus Noncontact Detection of Driver's Drowsiness. ICPR 2022: 967-974 - [c253]Aparna Garimella, Rada Mihalcea, Akhash Amarnath:
Demographic-Aware Language Model Fine-tuning as a Bias Mitigation Technique. AACL/IJCNLP (2) 2022: 311-319 - [c252]Laura Biester, Vanita Sharma, Ashkan Kazemi, Naihao Deng, Steven R. Wilson, Rada Mihalcea:
Analyzing the Effects of Annotator Gender across NLP Tasks. NLPerspectives@LREC 2022: 10-19 - [c251]Laura Burdick, Jonathan K. Kummerfeld, Rada Mihalcea:
Using Paraphrases to Study Properties of Contextual Embeddings. NAACL-HLT 2022: 4558-4568 - [c250]Zhijing Jin, Sydney Levine, Fernando Gonzalez Adauto, Ojasv Kamal, Maarten Sap, Mrinmaya Sachan, Rada Mihalcea, Josh Tenenbaum, Bernhard Schölkopf:
When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment. NeurIPS 2022 - [c249]Ian Stewart, Rada Mihalcea:
How Well Do You Know Your Audience? Toward Socially-aware Question Generation. SIGDIAL 2022: 255-269 - [d2]Laura Biester, James W. Pennebaker, Rada Mihalcea:
Emotional and Cognitive Changes Surrounding Online Depression Identity Claims. Version 1.0.0. Zenodo, 2022 [all versions]
- [i68]Ashkan Kazemi, Zehua Li, Verónica Pérez-Rosas, Scott A. Hale, Rada Mihalcea:
Matching Tweets With Applicable Fact-Checks Across Languages. CoRR abs/2202.07094 (2022) - [i67]Oana Ignat, Santiago Castro, Yuhang Zhou, Jiajun Bao, Dandan Shan, Rada Mihalcea:
When Did It Happen? Duration-informed Temporal Localization of Narrated Actions in Vlogs. CoRR abs/2202.08138 (2022) - [i66]Zhijing Jin, Abhinav Lalwani, Tejas Vaidhya, Xiaoyu Shen, Yiwen Ding, Zhiheng Lyu, Mrinmaya Sachan, Rada Mihalcea, Bernhard Schölkopf:
Logical Fallacy Detection. CoRR abs/2202.13758 (2022) - [i65]Deepanway Ghosal, Siqi Shen, Navonil Majumder, Rada Mihalcea, Soujanya Poria:
CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues. CoRR abs/2203.13926 (2022) - [i64]