Generation

OmniDialog: A Multimodal Benchmark for Generalization Across Text, Visual, and Audio Modalities EMNLP 2024 On Affine Homotopy between Language Encoders NeurIPS 2024 Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge NeurIPS 2024 On Context Utilization in Summarization with Large Language Models ACL 2024 One2Set + Large Language Model: Best Partners for Keyphrase Generation EMNLP 2024 OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs EMNLP 2024 One Prompt To Rule Them All: LLMs for Opinion Summary Evaluation ACL 2024 One-to-many testing for code generation from (just) natural language EMNLP 2024 On Learning to Summarize with Large Language Models as References NAACL 2024 On Leveraging Encoder-only Pre-trained Language Models for Effective Keyphrase Generation COLING 2024 Online Speculative Decoding ICML 2024 On Retrieval Augmentation and the Limitations of Language Model Training NAACL 2024 On Simplification of Discharge Summaries in Serbian: Facing the Challenges COLING 2024 On the Adaptation of Unlimiformer for Decoder-Only Transformers COLING 2024 On the alignment of LM language generation and human language comprehension EMNLP 2024 On the Benchmarking of LLMs for Open-Domain Dialogue Evaluation ACL 2024 On the Benefits of Fine-Grained Loss Truncation: A Case Study on Factuality in Summarization EACL 2024 On the Effect of (Near) Duplicate Subwords in Language Modelling ACL 2024 On the In-context Generation of Language Models EMNLP 2024 On the Inductive Bias of Stacking Towards Improving Reasoning NeurIPS 2024 On the Learnability of Watermarks for Language Models ICLR 2024 On the Multi-turn Instruction Following for Conversational Web Agents ACL 2024 On the Noise Robustness of In-Context Learning for Text Generation NeurIPS 2024 On The Persona-based Summarization of Domain-Specific Documents ACL 2024 On the Power of Decision Trees in Auto-Regressive Language Modeling NeurIPS 2024