ArXiv NLP research for Thursday, June 13, 2024. 00:20: Chain-of-Though (CoT) prompting strategies for medical error detection and correction 01:31: CoastTerm: a Corpus for Multidisciplinary Term Extraction in Coastal Scientific Literature 02:52: RH-SQL: Refined Schema and Hardness Prompt for Text-to-SQL 04:01: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs 05:24: Leveraging Explicit Reasoning for Inference Integration in Commonsense-Augmented Dialogue Models 06:38: Investigating the translation capabilities of Large Language Models trained on parallel data only 07:56: LASER: Learning by Aligning Self-supervised Representations of Speech for Improving Content-related Tasks 09:09: DefAn: Definitive Answer Dataset for LLMs Hallucination Evaluation 11:20: Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning 12:46: Orthogonality and isotropy of speaker and phonetic information in self-supervised speech representations 13:53: Language Complexity and Speech Recognition Accuracy: Orthographic Complexity Hurts, Phonological Complexity Doesn't 14:47: ReadCtrl: Personalizing text generation with readability-controlled instruction learning 16:32: Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models 17:49: Sharing Matters: Analysing Neurons Across Languages and Tasks in LLMs 19:18: End-to-end Streaming model for Low-Latency Speech Anonymization 20:22: Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback 22:25: On the Effects of Heterogeneous Data Sources on Speech-to-Text Foundation Models 23:33: Understanding Jailbreak Success: A Study of Latent Space Dynamics in Large Language Models 24:35: Exploring Spoken Language Identification Strategies for Automatic Transcription of Multilingual Broadcast and Institutional Speech 25:47: AlignMMBench: Evaluating Chinese Multimodal Alignment in Large Vision-Language Models 27:15: Transformers meet Neural Algorithmic Reasoners 28:32: REVS: Unlearning Sensitive Information in Language Models via Rank Editing in the Vocabulary Space 30:02: Learning from Natural Language Explanations for Generalizable Entity Matching 31:14: ProxyLM: Predicting Language Model Performance on Multilingual Tasks via Proxy Models 32:29: DiscreteSLU: A Large Language Model with Self-Supervised Discrete Speech Units for Spoken Language Understanding 33:43: Improving Autoregressive Training with Dynamic Oracles