#MemoryModay #NLProc 'Hey Siri. Ok Google. Alexa: A topic modeling of user reviews for smart speakers,' by Nguyen & @dirkhovy.bsky.social decodes speaker reviews for user preferences using topic models. Domain knowledge needed for market analysis.
#MemoryModay #NLProc 'Dense Node Representation for Geolocation' by Fornaciari & @dirkhovy.bsky.social reveals efficient geolocation methods using node2vec & doc2vec models. Greater network size, less parameters.
#MemoryModay #NLProc 'Make Natural Language Processing About People Again' by @dirkhovy.bsky.social (2018) uncovers how AI models portray different religions and emotions. #AIEthics
#MemoryModay #NLProc 'Comparing Bayesian Models of Annotation' by Paun et al. dives into corpus annotation, evaluating six models' predictiveness and accuracy. Essential for navigating annotators and item difficulties.
#MemoryModay #NLProc
@gattanasio.cc et al. study asks 'Is It Worth the (Environmental) Cost?' analyzing continuous training for language models. Balances benefits, environmental impacts, for responsible use. #AI #Sustainability
arxiv.org/pdf/2210.07365
#MemoryModay #NLProc Countering Hateful and Offensive Speech Online - Open Challenges" by Plaza-Del-Arco, @debora_nozza, Guerini, Sorensen, Zampieri, 2024 is a tutorial on the challenges and solutions for detecting and mitigating hate speech.
#MemoryModay #NLProc Uma, A. N. et al. examine AI model training in 'Learning from Disagreement: A Survey'. Disagreement-handling methods' performance is shaped by evaluation methods & dataset traits.
#MemoryModay #NLProc 'Leveraging Social Interactions to Detect Misinformation on Social Media' by Fornaciari et al. (2023) uses combined text and network analysis to spot unreliable threads.
#MemoryModay #NLProc 'Multilingual HateCheck: Functional Tests for Multilingual Hate Speech Detection Models' by @paul-rottger.bsky.social et al. (2022). A suite of tests for 10 languages.
#MemoryModay #NLProc 'Hey Siri. Ok Google. Alexa: A topic modeling of user reviews for smart speakers,' by Nguyen & @dirkhovy.bsky.social decodes speaker reviews for user preferences using topic models. Domain knowledge needed for market analysis.
#MemoryModay #NLProc ' 'State of Profanity Obfuscation in NLP Scientific Publications' probes bias in non-English papers. @deboranozza.bsky.social & @dirkhovy.bsky.social (2023) propose 'PrOf' to aid authors & improve access.
#MemoryModay #NLProc 'Measuring Harmful Representations in Scandinavian Language Models' uncovers gender bias, challenging Scandinavia's equity image.
#MemoryModay #NLProc 'Universal Joy: A Data Set and Results for Classifying Emotions Across Languages' by Lamprinidis et al. (2021) explores how AI research affects our planet.
#MemoryModay #NLProc 'Dense Node Representation for Geolocation' by Fornaciari & @dirkhovy.bsky.social reveals efficient geolocation methods using node2vec & doc2vec models. Greater network size, less parameters.
#MemoryModay #NLProc 'Benchmarking Post-Hoc Interpretability Approaches for Transformer-based Misogyny Detection' - Attanasio et al. Explores reliability of interpretability in hate speech detection.
#MemoryModay #NLProc ' 'State of Profanity Obfuscation in NLP Scientific Publications' probes bias in non-English papers. @debora_nozza & Dirk Hovy (2023) propose 'PrOf' to aid authors & improve access. aclanthology.org/2023.finding...
#MemoryModay #NLProc 'Measuring Harmful Representations in Scandinavian Language Models' uncovers gender bias, challenging Scandinavia's equity image. #MachineLearning
#MemoryModay #NLProc 'Universal Joy: A Data Set and Results for Classifying Emotions Across Languages' by Lamprinidis et al. (2021) explores how AI research affects our planet. Tech can be green too! #SustainableTech
#MemoryModay #NLProc 'Benchmarking Post-Hoc Interpretability Approaches for Transformer-based Misogyny Detection' - Attanasio et al. Explores reliability of interpretability in hate speech detection.
#MemoryModay #NLProc 'Dense Node Representation for Geolocation' by Fornaciari & @dirkhovy.bsky.social reveals efficient geolocation methods using node2vec & doc2vec models. Greater network size, less parameters. /publication/2019_m2v/2019_m2v
#MemoryModay #NLProc 'My Answer is C' by Wang et al. (2024) underscores the scrutiny needed for full text responses in LLMs multi-choice evaluations.
#MemoryModay #NLProc Hung et al.'s 2023 paper, 'Can Demographic Factors Improve Text Classification?' finds demographic adaptations of Transformer NLP models don't notably boost performance.
#MemoryModay #NLProc 'Detecting Misogynous Memes with Text & Image Modalities' by Attanasio, @deboranozza.bsky.social, Bianchi. Their novel system uses Perceiver IO, surpassing all previous benchmarks.
#MemoryModay #NLProc Plaza-del-Arco, @debora_nozza, @dirkhovy.bsky.social's 2024 paper "Wisdom Instruction-Tuned Language Model Crowds" shows that multiple LLMs can be BETTER than a single model & specialize across tasks & languages.
#MemoryModay #NLProc #TBT #NLPproc 'Pipelines for Social Bias Testing of Large Language Models' by @deboranozza.bsky.social, Federico Bianchi, @dirkhovy.bsky.social (2022). Proposes social bias tests akin to software testing in AI dev pipelines.
