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Resources & Methods

16,196 papers (36 classified directly here)

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Papers (including subtopics)

Financial Product Ontology Population with Large Language Models ACL 2024 FinBen: A Holistic Financial Benchmark for Large Language Models NeurIPS 2024 FinCorpus-DE10k: A Corpus for the German Financial Domain COLING 2024 Finding and Editing Multi-Modal Neurons in Pre-Trained Transformers ACL 2024 Finding Blind Spots in Evaluator LLMs with Interpretable Checklists EMNLP 2024 Findings of the 2nd Shared Task on Multi-lingual Multi-task Information Retrieval at MRL 2024 EMNLP 2024 Findings of the AmericasNLP 2024 Shared Task on the Creation of Educational Materials for Indigenous Languages NAACL 2024 Findings of the WILDRE Shared Task on Code-mixed Less-resourced Sentiment Analysis for Indo-Aryan Languages COLING 2024 Findings of the WMT 2024 Shared Task of the Open Language Data Initiative EMNLP 2024 Findings of the WMT 2024 Shared Task on Chat Translation EMNLP 2024 Findings of the WMT24 General Machine Translation Shared Task: The LLM Era Is Here but MT Is Not Solved Yet EMNLP 2024 Findings of WMT 2024 Shared Task on Low-Resource Indic Languages Translation EMNLP 2024 Findings of WMT 2024’s MultiIndic22MT Shared Task for Machine Translation of 22 Indian Languages EMNLP 2024 Finding Spoken Identifications: Using GPT-4 Annotation for an Efficient and Fast Dataset Creation Pipeline COLING 2024 Finding the Optimal Byte-Pair Encoding Merge Operations for Neural Machine Translation in a Low-Resource Setting EMNLP 2024 Fine-Grained Detection of Solidarity for Women and Migrants in 155 Years of German Parliamentary Debates EMNLP 2024 Fine-grained Pluggable Gradient Ascent for Knowledge Unlearning in Language Models EMNLP 2024 FineRadScore: A Radiology Report Line-by-Line Evaluation Technique Generating Corrections with Severity Scores MLHC 2024 FineSurE: Fine-grained Summarization Evaluation using LLMs ACL 2024 Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together EMNLP 2024 Fine-Tuning and Retrieval Augmented Generation for Question Answering Using Affordable Large Language Models COLING 2024 Fine-Tuning ASR models for Very Low-Resource Languages: A Study on Mvskoke ACL 2024 Fine-tuning CLIP Text Encoders with Two-step Paraphrasing EACL 2024 Fine-Tuning Language Models for Factuality ICLR 2024 Fine-tuning Language Models for Predicting the Impact of Events Associated to Financial News Articles COLING 2024