3rd Workshop on
NLP for Positive Impact

Workshop Schedule

Workshop Date: Nov 15, Miami. Eastern time zone (ET).

Live streaming on Zoom will be enabled for virtual participants (zoom link).

As an output of this workshop, we will record our joint research brainstormings in this doc

• 9-9:05am: Opening Remark (slides)

• 9:05-9:30am: Opening Talk by Rada Mihalcea

• 9:30-10:30am: Theme Session 1 (Two Invited Talks, and Q&A)

  • Prof Yulia Tsvetkov (UW): Talk at 9:30-9:55am, followed by 5-min Q&A

  • Prof Anjalie Field (JHU): Talk at 10:00-10:25am, followed by 5-min Q&A

• 10:30-11am: NGO lightning talk (slides)

• 11am-12noon: Poster Session (In-person posters will be hosted; virtual poster presenters will talk about their work in a Zoom session) including papers:

  • All Models are Wrong, But Some are Deadly: Inconsistencies in Emotion Detection in Suicide-related Tweets Annika Marie Schoene, Resmi Ramachandranpillai, Tomo Lazovich, Ricardo A. Baeza-Yates

  • Efficient Aspect-Based Summarization of Climate Change Reports with Small Language Models Iacopo Ghinassi, Leonardo Catalano, Tommaso Colella

  • Uchaguzi-2022: A Dataset of Citizen Reports on the 2022 Kenyan Election Roberto Mondini, Neema Kotonya, Robert L. Logan IV, Elizabeth M Olson, Angela Oduor Lungati, Daniel Duke Odongo, Tim Ombasa, Hemank Lamba, Aoife Cahill, Joel R. Tetreault, Alejandro Jaimes 

  • An NLP Case Study on Predicting the Before and After of the Ukraine–Russia and Hamas–Israel Conflicts Jordan Miner, John E. Ortega

  • Exploring the Jungle of Bias: Political Bias Attribution in Language Models via Dependency Analysis David F. Jenny, Yann Billeter, Bernhard Schölkopf, Zhijing Jin

  • AgriLLM:Harnessing Transformers for Framer Queries Krish Didwania, Pratinav Seth, Aditya Kasliwal, Amit Agarwal

  • SciTechBaitRO: ClickBait Detection for Romanian Science and Technology News Raluca-Andreea Gînga, Ana Sabina Uban 

  • Investigating Ableism in LLMs through Multi-turn Conversation Guojun Wu, Sarah Ebling

  • WildfireGPT: Tailored Large Language Model for Wildfire Analysis Yangxinyu Xie, Bowen Jiang, Tanwi Mallick, John K Hutchison, Duane Rudolph Verner, Jordan Branham, M. Ross Alexander, Robert Ross, Yan Feng, Leslie-Anne Levy, Weijie J Su, Camillo Jose Taylor

  • Inferring Mental Burnout Discourse Across Reddit Communities Nazanin Sabri, Anh C. Pham, Ishita Kakkar, Mai ElSherief

  • Decoding Ableism in Large Language Models: An Intersectional Approach Rong Li, Ashwini Kamaraj, Jing Ma, Sarah Ebling

  • Explainable Identification of Hate Speech towards Islam using Graph Neural Networks Azmine Toushik Wasi

  • Crafting Tomorrow's Headlines: Neural News Generation and Detection in English, Turkish, Hungarian, and Persian Cem Üyük, Danica Rovó, Shaghayegh Kolli, Rabia Varol, Georg Groh, Daryna Dementieva

  • MultiClimate: Multimodal Stance Detection on Climate Change Videos Jiawen Wang, Longfei Zuo, Siyao Peng, Barbara Plank

  • AAVENUE: Detecting LLM Biases on NLU Tasks in AAVE via a Novel Benchmark Abhay Gupta, Ece Yurtseven, Philip Meng, Kevin Zhu

  • DiversityMedQA: A Benchmark for Assessing Demographic Biases in Medical Diagnosis using Large Language Models Rajat Rawat, Hudson McBride, Dhiyaan Chakkresh Nirmal, Rajarshi Ghosh, Jong Moon, Dhruv Karthik Alamuri, Kevin Zhu 

  • Improving Industrial Safety by Auto-Generating Case-specific Preventive Recommendations Sangameshwar Patil, Sumit Koundanya, Shubham Kumbhar, Alok Kumar

  • From Predictions to Analyses: Explainable Rationales-Augmented Fake News Detection with Large Vision-Language Models Xiaofan Zheng, Zinan Zeng, Heng Wang, Yuyang Bai, Yuhan Liu, Minnan Luo 

  • What is the social benefit of hate speech detection research? A Systematic Review Sidney Gig-Jan Wong 

  • Multilingual Fact-Checking using LLMs Aryan Singhal, Thomas Law, Coby Kassner, Ayushman Gupta, Evan Duan, Aviral Damle, Ryan Luo Li

  • Selecting Shots for Demographic Fairness in Few-Shot Learning with Large Language Models Carlos Alejandro Aguirre, Kuleen Sasse, Isabel Alyssa Cachola, Mark Dredze

  • CLIMB: A Benchmark of Clinical Bias in Large Language Models Yubo Zhang, Shudi Hou, Mingyu Derek Ma, Wei Wang, Muhao Chen, Jieyu Zhao 

  • Covert Bias: The Severity of Social Views' Unalignment in Language Models Towards Implicit and Explicit Opinion Abeer Aldayel, Areej Alokaili, Rehab Alahmadi

  • Towards Explainable Multi-Label Text Classification: A Multi-Task Rationalisation Framework for Identifying Indicators of Forced Labour Erick Mendez Guzman, Viktor Schlegel, Riza Batista-Navarro

• 12-1pm: Lunch break

• 1-2pm: Theme Session 2: Education

  • Prof Mrinmaya Sachan (ETH): Talk at 1-1:25pm, followed by 5-min Q&A (slide)

  • Stephen Mayhew (Duolingo): Talk at 1:30-1:55pm, followed by 5-min Q&A

• 2-3pm: Theme Session 3: Healthcare

  • Prof Veronica Perez-Rosa (Texas State University): Talk at 2-2:25pm, followed by 5-min Q&A

  • Prof Louis-Philippe Morency (CMU): Talk at 2:30-2:55pm, followed by 5-min Q&A

• 3-3:30pm: Oral Talks sessions (5 talks & 5 min/each, Q&A in the last 5 mins) (slides) including papers:

  • Operationalizing content moderation "accuracy" in the Digital Services Act Johnny Wei

  • Transferring Fairness using Multi-Task Learning with Limited Demographic Information Carlos Alejandro Aguirre, Mark Dredze 

  • CEHA: A Dataset of Conflict Events in the Horn of Africa (outstanding paper) Rui Bai, Di Lu, Shihao Ran, Elizabeth M Olson, Hemank Lamba, Aoife Cahill, Joel R. Tetreault, Alejandro Jaimes

  • Eliciting Uncertainty in Chain-of-Thought to Mitigate Bias against Forecasting Harmful User Behaviors (outstanding paper) Anthony Sicilia, Malihe Alikhani

  • From Text to Maps: LLM-Driven Extraction and Geotagging of Epidemiological Data (outstanding paper) Karlyn K. Harrod, Prabin Bhandari, Antonios Anastasopoulos

  • PG-Story: Taxonomy, Dataset, and Evaluation for Ensuring Child-Safe Content for Story Generation (outstanding paper) Alicia Y. Tsai, Shereen Oraby, Anjali Narayan-Chen, Alessandra Cervone, Spandana Gella, Apurv Verma, Tagyoung Chung, Jing Huang, Nanyun Peng

  • Reference-Based Metrics Are Biased Against Blind and Low-Vision Users' Image Description Preferences (best paper 🎉) Rhea Kapur, Elisa Kreiss 

• 3:30-3:45pm: Coffee Break by EMNLP

• 3:45-4:05pm: Special Theme "Digital Violence": NGO Talk by Cordelia Moore (slides)

• 4:05-5pm: Panel on "Encouraging collaborations to advance NLP for Positive Impact" by Cordelia Moore, Stephen Mayhew, Anjalie Field, and Jieyu Zhao

• 5-5:45pm: Research Brainstorming with all attendees: How to advance NLP for Social Good?

  • e.g., Problems in your community: What are priority questions to address for NLP4SG?

  • Imagining AI Solutions: What can we do together as a community for NLP4SG -- benchmark, centralized contact to NGOs, etc?

  • Cluster potential collaborators

  • We will record all discussions in this doc

• 5:45-6pm: Best Paper announcement & Closing (slides)

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