Natural Language Processing

Incorporating Word Count Information into Depression Risk Summary Generation: INF@UoS CLPsych 2024 Submission EACL 2024 Incorporating Word-level Phonemic Decoding into Readability Assessment COLING 2024 Increasing the Difficulty of Automatically Generated Questions via Reinforcement Learning with Synthetic Preference for Cost-Effective Cultural Heritage Dataset Generation EMNLP 2024 Incremental pre-training from smaller language models ACL 2024 Incremental Sequence Labeling: A Tale of Two Shifts ACL 2024 Incubating Text Classifiers Following User Instruction with Nothing but LLM EMNLP 2024 “In-Dialogues We Learn”: Towards Personalized Dialogue Without Pre-defined Profiles through In-Dialogue Learning EMNLP 2024 IndiBias: A Benchmark Dataset to Measure Social Biases in Language Models for Indian Context NAACL 2024 IndicCONAN: A Multilingual Dataset for Combating Hate Speech in Indian Context AAAI 2024 IndicGenBench: A Multilingual Benchmark to Evaluate Generation Capabilities of LLMs on Indic Languages ACL 2024 IndicIRSuite: Multilingual Dataset and Neural Information Models for Indian Languages ACL 2024 IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages ACL 2024 INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness NeurIPS 2024 Indic-TEDST: Datasets and Baselines for Low-Resource Speech to Text Translation COLING 2024 IndicVoices-R: Unlocking a Massive Multilingual Multi-speaker Speech Corpus for Scaling Indian TTS NeurIPS 2024 IndiSentiment140: Sentiment Analysis Dataset for Indian Languages with Emphasis on Low-Resource Languages using Machine Translation NAACL 2024 IndiVec: An Exploration of Leveraging Large Language Models for Media Bias Detection with Fine-Grained Bias Indicators EACL 2024 Inducing Systematicity in Transformers by Attending to Structurally Quantized Embeddings ACL 2024 Inductive-Deductive Strategy Reuse for Multi-Turn Instructional Dialogues EMNLP 2024 Induct-Learn: Short Phrase Prompting with Instruction Induction EMNLP 2024 INDUS: Effective and Efficient Language Models for Scientific Applications EMNLP 2024 ”I Never Said That”: A dataset, taxonomy and baselines on response clarity classification EMNLP 2024 Inevitable Trade-off between Watermark Strength and Speculative Sampling Efficiency for Language Models NeurIPS 2024 InFact: A Strong Baseline for Automated Fact-Checking EMNLP 2024 InferBR: A Natural Language Inference Dataset in Portuguese COLING 2024