Generative Dense Retrieval: Memory Can Be a Burden. (arXiv:2401.10487v1 [cs.IR])
Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step Reasoning. (arXiv:2401.10480v1 [cs.CL])
Name Tagging Under Domain Shift via Metric Learning for Life Sciences. (arXiv:2401.10472v1 [cs.CL])
DeepEdit: Knowledge Editing as Decoding with Constraints. (arXiv:2401.10471v1 [cs.CL])
Data-driven grapheme-to-phoneme representations for a lexicon-free text-to-speech. (arXiv:2401.10465v1 [cs.CL])
Critical Data Size of Language Models from a Grokking Perspective. (arXiv:2401.10463v1 [cs.CL])
Contextualized Automatic Speech Recognition with Attention-Based Bias Phrase Boosted Beam Search. (arXiv:2401.10449v1 [eess.AS])
Investigating Training Strategies and Model Robustness of Low-Rank Adaptation for Language Modeling in Speech Recognition. (arXiv:2401.10447v1 [cs.CL])
Large Language Models are Efficient Learners of Noise-Robust Speech Recognition. (arXiv:2401.10446v1 [cs.CL])
Breaking the Curse of Multilinguality with Cross-lingual Expert Language Models. (arXiv:2401.10440v1 [cs.CL])
Can Large Language Model Summarizers Adapt to Diverse Scientific Communication Goals?. (arXiv:2401.10415v1 [cs.CL])
Learning High-Quality and General-Purpose Phrase Representations. (arXiv:2401.10407v1 [cs.CL])
Inconsistent dialogue responses and how to recover from them. (arXiv:2401.10353v1 [cs.CL])
Bridging Cultural Nuances in Dialogue Agents through Cultural Value Surveys. (arXiv:2401.10352v1 [cs.CL])
Noise Contrastive Estimation-based Matching Framework for Low-resource Security Attack Pattern Recognition. (arXiv:2401.10337v1 [cs.LG])
DrugAssist: A Large Language Model for Molecule Optimization. (arXiv:2401.10334v1 [q-bio.QM])
Top in Chinese Data Processing: English Code Models. (arXiv:2401.10286v1 [cs.CL])
A systematic review of geospatial location embedding approaches in large language models: A path to spatial AI systems. (arXiv:2401.10279v1 [cs.IR])
Knowledge graph driven recommendation model of graph neural network. (arXiv:2401.10244v1 [cs.IR])
Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation. (arXiv:2401.08417v2 [cs.CL] UPDATED)
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