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Natural Language Processing

46,586 papers (52 classified directly here)

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Papers (including subtopics)

Thermometer: Towards Universal Calibration for Large Language Models ICML 2024 The Role of Adverbs in Language Variety Identification: The Case of Portuguese Multi-Word Adverbs NAACL 2024 The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding NeurIPS 2024 The Semantic Relations in LLMs: An Information-theoretic Compression Approach COLING 2024 The Services of the LiLa Knowledge Base of Interoperable Linguistic Resources for Latin COLING 2024 The SETU-ADAPT Submission for WMT 24 Biomedical Shared Task EMNLP 2024 The SETU-ADAPT Submissions to the WMT24 Low-Resource Indic Language Translation Task EMNLP 2024 The SETU-ADAPT Submissions to WMT 2024 Chat Translation Tasks EMNLP 2024 The SETU-DCU Submissions to IWSLT 2024 Low-Resource Speech-to-Text Translation Tasks ACL 2024 The SIFo Benchmark: Investigating the Sequential Instruction Following Ability of Large Language Models EMNLP 2024 Thesis Proposal: Detecting Agency Attribution EACL 2024 The SlayQA benchmark of social reasoning: testing gender-inclusive generalization with neopronouns EMNLP 2024 The Social Lives of Literary Characters: Combining citizen science and language models to understand narrative social networks EMNLP 2024 The State of Relation Extraction Data Quality: Is Bigger Always Better? ACL 2024 The State of the Art of Large Language Models on Chartered Financial Analyst Exams EMNLP 2024 The steerability of large language models toward data-driven personas NAACL 2024 The Touché23-ValueEval Dataset for Identifying Human Values behind Arguments COLING 2024 The Trade-off between Performance, Efficiency, and Fairness in Adapter Modules for Text Classification NAACL 2024 The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction ICLR 2024 The Typology of Ellipsis: A Corpus for Linguistic Analysis and Machine Learning Applications EACL 2024 The UNLP 2024 Shared Task on Fine-Tuning Large Language Models for Ukrainian COLING 2024 The Unreasonable Effectiveness of Easy Training Data for Hard Tasks ACL 2024 The unreasonable effectiveness of large language models for low-resource clause-level morphology: In-context generalization or prior exposure? NAACL 2024 The Unreasonable Effectiveness of Random Target Embeddings for Continuous-Output Neural Machine Translation NAACL 2024 The Use of Phone Categories and Cross-Language Modeling for Phone Alignment of Panãra Interspeech 2024