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
