HealthFC: A Dataset of Health Claims for Evidence-Based Medical Fact-Checking. (arXiv:2309.08503v1 [cs.CL])
Using Large Language Models for Knowledge Engineering (LLMKE): A Case Study on Wikidata. (arXiv:2309.08491v1 [cs.CL])
SilverRetriever: Advancing Neural Passage Retrieval for Polish Question Answering. (arXiv:2309.08469v1 [cs.CL])
Mixture Encoder Supporting Continuous Speech Separation for Meeting Recognition. (arXiv:2309.08454v1 [eess.AS])
Advancing the Evaluation of Traditional Chinese Language Models: Towards a Comprehensive Benchmark Suite. (arXiv:2309.08448v1 [cs.CL])
Unleashing Potential of Evidence in Knowledge-Intensive Dialogue Generation. (arXiv:2309.08380v1 [cs.CL])
PatFig: Generating Short and Long Captions for Patent Figures. (arXiv:2309.08379v1 [cs.CV])
DiaCorrect: Error Correction Back-end For Speaker Diarization. (arXiv:2309.08377v1 [eess.AS])
Headless Language Models: Learning without Predicting with Contrastive Weight Tying. (arXiv:2309.08351v1 [cs.CL])
Reward Engineering for Generating Semi-structured Explanation. (arXiv:2309.08347v1 [cs.CL])
Data Distribution Bottlenecks in Grounding Language Models to Knowledge Bases. (arXiv:2309.08345v1 [cs.CL])
Distributional Inclusion Hypothesis and Quantifications: Probing Hypernymy in Functional Distributional Semantics. (arXiv:2309.08325v1 [cs.CL])
Bridging Topic, Domain, and Language Shifts: An Evaluation of Comprehensive Out-of-Distribution Scenarios. (arXiv:2309.08316v1 [cs.CL])
Self-Consistent Narrative Prompts on Abductive Natural Language Inference. (arXiv:2309.08303v1 [cs.CL])
Structural Self-Supervised Objectives for Transformers. (arXiv:2309.08272v1 [cs.CL])
Cross-lingual Knowledge Distillation via Flow-based Voice Conversion for Robust Polyglot Text-To-Speech. (arXiv:2309.08255v1 [eess.AS])
Investigating Answerability of LLMs for Long-Form Question Answering. (arXiv:2309.08210v1 [cs.CL])
Encoded Summarization: Summarizing Documents into Continuous Vector Space for Legal Case Retrieval. (arXiv:2309.08187v1 [cs.CL])
Multilingual Sentence-Level Semantic Search using Meta-Distillation Learning. (arXiv:2309.08185v1 [cs.CL])
Using Large Language Model to Solve and Explain Physics Word Problems Approaching Human Level. (arXiv:2309.08182v1 [cs.CL])
All recent Computation and Language articles on arXiv.org for the Fediverse
Inspired by https://twitter.com/arxiv_cscl