Workshop on NLP for Positive Impact 2024 — accepted papers
Workshop on NLP for Positive Impact 2024 is the 2024 edition of the Workshop on NLP for Positive Impact, held in Miami, Florida, USA, November 2024 (publisher: Association for Computational Linguistics). The ACL Anthology lists 25 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.
📍 Miami, Florida, 
United States · 🗓 November 2024
Most cited papers
- DiversityMedQA: A Benchmark for Assessing Demographic Biases in Medical Diagnosis using Large Language Models ↗Rajat Rawat, Hudson McBride, Rajarshi Ghosh et al.9 citations
- Decoding Ableism in Large Language Models: An Intersectional Approach ↗Rong Li, Ashwini Kamaraj, Jing Ma et al.8 citations
- Exploring the Jungle of Bias: Political Bias Attribution in Language Models via Dependency Analysis ↗David F. Jenny, Yann Billeter, Bernhard Schölkopf et al.6 citations
- Investigating Ableism in LLMs through Multi-turn Conversation ↗Guojun Wu, Sarah Ebling6 citations
- AAVENUE: Detecting LLM Biases on NLU Tasks in AAVE via a Novel BenchmarkAbhay Gupta, Ece Yurtseven, Philip Meng et al.5 citations · our summary
- AgriLLM:Harnessing Transformers for Framer Queries ↗Krish Didwania, Pratinav Seth, Aditya Kasliwal et al.5 citations
- From Text to Maps: LLM-Driven Extraction and Geotagging of Epidemiological Data ↗Karlyn K. Harrod, Prabin Bhandari, Antonios Anastasopoulos5 citations
- MultiClimate: Multimodal Stance Detection on Climate Change Videos ↗Jiawen Wang, Longfei Zuo, Siyao Peng et al.5 citations
- Efficient Aspect-Based Summarization of Climate Change Reports with Small Language Models ↗Iacopo Ghinassi, Leonardo Catalano, Tommaso Colella4 citations
- Multilingual Fact-Checking using LLMs ↗Aryan Singhal, Thomas Law, Coby Kassner et al.4 citations
All accepted papers (25)
- DiversityMedQA: A Benchmark for Assessing Demographic Biases in Medical Diagnosis using Large Language Models ↗Rajat Rawat, Hudson McBride, Rajarshi Ghosh et al.9 citations
- Decoding Ableism in Large Language Models: An Intersectional Approach ↗Rong Li, Ashwini Kamaraj, Jing Ma et al.8 citations
- Exploring the Jungle of Bias: Political Bias Attribution in Language Models via Dependency Analysis ↗David F. Jenny, Yann Billeter, Bernhard Schölkopf et al.6 citations
- Investigating Ableism in LLMs through Multi-turn Conversation ↗Guojun Wu, Sarah Ebling6 citations
- AAVENUE: Detecting LLM Biases on NLU Tasks in AAVE via a Novel BenchmarkAbhay Gupta, Ece Yurtseven, Philip Meng et al.5 citations · our summary
- AgriLLM:Harnessing Transformers for Framer Queries ↗Krish Didwania, Pratinav Seth, Aditya Kasliwal et al.5 citations
- From Text to Maps: LLM-Driven Extraction and Geotagging of Epidemiological Data ↗Karlyn K. Harrod, Prabin Bhandari, Antonios Anastasopoulos5 citations
- MultiClimate: Multimodal Stance Detection on Climate Change Videos ↗Jiawen Wang, Longfei Zuo, Siyao Peng et al.5 citations
- Efficient Aspect-Based Summarization of Climate Change Reports with Small Language Models ↗Iacopo Ghinassi, Leonardo Catalano, Tommaso Colella4 citations
- Multilingual Fact-Checking using LLMs ↗Aryan Singhal, Thomas Law, Coby Kassner et al.4 citations
- Explainable Identification of Hate Speech towards Islam using Graph Neural Networks ↗Azmine Toushik Wasi3 citations
- An NLP Case Study on Predicting the Before and After of the Ukraine–Russia and Hamas–Israel Conflicts ↗Jordan Miner, John E. Ortega2 citations
- Reference-Based Metrics Are Biased Against Blind and Low-Vision Users' Image Description Preferences ↗Rhea Kapur, Elisa Kreiss2 citations
- SciTechBaitRO: ClickBait Detection for Romanian Science and Technology News ↗Raluca-Andreea Gînga, Ana Sabina Uban2 citations
- What is the social benefit of hate speech detection research? A Systematic Review ↗Sidney Gig-Jan Wong2 citations
- All Models are Wrong, But Some are Deadly: Inconsistencies in Emotion Detection in Suicide-related Tweets ↗Annika Marie Schoene, Resmi Ramachandranpillai, Tomo Lazovich et al.1 citation
- Covert Bias: The Severity of Social Views' Unalignment in Language Models Towards Implicit and Explicit Opinion ↗Abeer Aldayel, Areej Alokaili, Rehab Alahmadi1 citation
- Crafting Tomorrow's Headlines: Neural News Generation and Detection in English, Turkish, Hungarian, and Persian ↗Cem Üyük, Danica Rovó, Shaghayeghkolli Shaghayeghkolli et al.1 citation
- Eliciting Uncertainty in Chain-of-Thought to Mitigate Bias against Forecasting Harmful User Behaviors ↗Anthony Sicilia, Malihe Alikhani1 citation
- Improving Industrial Safety by Auto-Generating Case-specific Preventive Recommendations ↗Sangameshwar Patil, Sumit Koundanya, Shubham Kumbhar et al.1 citation
- Inferring Mental Burnout Discourse Across Reddit Communities ↗Nazanin Sabri, Anh C. Pham, Ishita Kakkar et al.1 citation
- Selecting Shots for Demographic Fairness in Few-Shot Learning with Large Language Models ↗Carlos Aguirre, Kuleen Sasse, Isabel Cachola et al.1 citation
- PG-Story: Taxonomy, Dataset, and Evaluation for Ensuring Child-Safe Content for Story Generation ↗Alicia Y. Tsai, Shereen Oraby, Anjali Narayan-Chen et al.
- 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
- Transferring Fairness using Multi-Task Learning with Limited Demographic Information ↗Carlos Alejandro Aguirre, Mark Dredze
Papers with our summary in our library (1)
- AAVENUE: Detecting LLM Biases on NLU Tasks in AAVE via a Novel BenchmarkWorkshop on NLP for Positive ImpactAbhay Gupta, Ece Yurtseven, Philip Meng, et al.2024 · 17 citations
Top topics
Language models & pretraining (1)Evaluation & benchmarks (1)
Fields
Arts and Humanities (1)Computer Science (1)Social Sciences (1)
Top authors
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