Ep. 262 - June 12, 2024

Ep. 263 - Part 2 - June 13, 2024

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

Ep. 263 - Part 1 - June 13, 2024

ArXiv NLP research for Thursday, June 13, 2024. 00:20: Deep Exploration of Cross-Lingual Zero-Shot Generalization in Instruction Tuning 01:53: Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models 03:26: Automated Essay Scoring Using Grammatical Variety and Errors with Multi-Task Learning and Item Response Theory 04:33: Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination 06:05: DisfluencySpeech -- Single-Speaker Conversational Speech Dataset with Paralanguage 07:26: Research on Optimization of Natural Language Processing Model Based on Multimodal Deep Learning 08:41: ContraSolver: Self-Alignment of Language Models by Resolving Internal Preference Contradictions 10:07: An Approach to Build Zero-Shot Slot-Filling System for Industry-Grade Conversational Assistants 11:42: Plan, Generate and Complicate: Improving Low-resource Dialogue State Tracking via Easy-to-Difficult Zero-shot Data Augmentation 12:42: No perspective, no perception!! Perspective-aware Healthcare Answer Summarization 14:28: Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models 16:02: An Initial Investigation of Language Adaptation for TTS Systems under Low-resource Scenarios 17:21: Navigating the Shadows: Unveiling Effective Disturbances for Modern AI Content Detectors 18:48: Exploring Multilingual Unseen Speaker Emotion Recognition: Leveraging Co-Attention Cues in Multitask Learning 19:52: Word Order in English-Japanese Simultaneous Interpretation: Analyses and Evaluation using Chunk-wise Monotonic Translation 21:12: Multi-Agent Software Development through Cross-Team Collaboration 22:55: LLM Reading Tea Leaves: Automatically Evaluating Topic Models with Large Language Models 24:14: Bayesian Statistical Modeling with Predictors from LLMs 25:39: ME-Switch: A Memory-Efficient Expert Switching Framework for Large Language Models 27:28: Language Models are Crossword Solvers 28:32: MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning 29:51: CUDRT: Benchmarking the Detection of Human vs. Large Language Models Generated Texts 31:29: Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning? 32:59: 3M: Multi-modal Multi-task Multi-teacher Learning for Game Event Detection 34:08: Modeling Comparative Logical Relation with Contrastive Learning for Text Generation 35:42: SciKnowEval: Evaluating Multi-level Scientific Knowledge of Large Language Models

Ep. 262 - June 12, 2024

ArXiv NLP research for Wednesday, June 12, 2024. 00:19: VALL-E R: Robust and Efficient Zero-Shot Text-to-Speech Synthesis via Monotonic Alignment 02:05: BookSQL: A Large Scale Text-to-SQL Dataset for Accounting Domain 03:15: Designing a Dashboard for Transparency and Control of Conversational AI 04:46: Label-aware Hard Negative Sampling Strategies with Momentum Contrastive Learning for Implicit Hate Speech Detection 05:51: Exploring Speech Foundation Models for Speaker Diarization in Child-Adult Dyadic Interactions 06:53: Exploring Self-Supervised Multi-view Contrastive Learning for Speech Emotion Recognition with Limited Annotations 07:52: Guiding Frame-Level CTC Alignments Using Self-knowledge Distillation 08:55: DeTriever: Decoder-representation-based Retriever for Improving NL2SQL In-Context Learning 10:20: Automated Information Extraction from Thyroid Operation Narrative: A Comparative Study of GPT-4 and Fine-tuned KoELECTRA 11:35: Large Language Model Unlearning via Embedding-Corrupted Prompts 13:17: Defining and Detecting Vulnerability in Human Evaluation Guidelines: A Preliminary Study Towards Reliable NLG Evaluation 14:46: Better than Random: Reliable NLG Human Evaluation with Constrained Active Sampling 16:02: LibriTTS-P: A Corpus with Speaking Style and Speaker Identity Prompts for Text-to-Speech and Style Captioning 17:18: Guiding In-Context Learning of LLMs through Quality Estimation for Machine Translation 18:37: It Takes Two: On the Seamlessness between Reward and Policy Model in RLHF 20:02: Adversarial Evasion Attack Efficiency against Large Language Models 21:06: Learning Job Title Representation from Job Description Aggregation Network 21:59: Large Language Models Meet Text-Centric Multimodal Sentiment Analysis: A Survey 23:35: AustroTox: A Dataset for Target-Based Austrian German Offensive Language Detection 24:38: Languages Transferred Within the Encoder: On Representation Transfer in Zero-Shot Multilingual Translation 25:56: Multimodal Table Understanding 27:20: CoXQL: A Dataset for Parsing Explanation Requests in Conversational XAI Systems 28:51: Supportiveness-based Knowledge Rewriting for Retrieval-augmented Language Modeling 30:36: Legend: Leveraging Representation Engineering to Annotate Safety Margin for Preference Datasets 31:57: Semi-Supervised Spoken Language Glossification 33:16: Underneath the Numbers: Quantitative and Qualitative Gender Fairness in LLMs for Depression Prediction 34:37: A Dialogue Game for Eliciting Balanced Collaboration 35:23: Transformer-based Model for ASR N-Best Rescoring and Rewriting 36:16: SumHiS: Extractive Summarization Exploiting Hidden Structure 36:53: Figuratively Speaking: Authorship Attribution via Multi-Task Figurative Language Modeling 38:08: Leveraging Large Language Models for Web Scraping 39:51: M3T: A New Benchmark Dataset for Multi-Modal Document-Level Machine Translation 41:15: Is Programming by Example solved by LLMs? 42:29: Speech Emotion Recognition with ASR Transcripts: A Comprehensive Study on Word Error Rate and Fusion Techniques 43:42: Towards Unsupervised Speech Recognition Without Pronunciation Models 44:50: cPAPERS: A Dataset of Situated and Multimodal Interactive Conversations in Scientific Papers 45:57: Understanding Sounds, Missing the Questions: The Challenge of Object Hallucination in Large Audio-Language Models 47:02: Tailoring Generative AI Chatbots for Multiethnic Communities in Disaster Preparedness Communication: Extending the CASA Paradigm 48:12: Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL 49:56: TasTe: Teaching Large Language Models to Translate through Self-Reflection 51:28: OLMES: A Standard for Language Model Evaluations 52:47: Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Ep. 261 - Part 2 - June 11, 2024

ArXiv NLP research for Tuesday, June 11, 2024. 00:20: Scientific Computing with Large Language Models 01:08: Speaking Your Language: Spatial Relationships in Interpretable Emergent Communication 02:19: Bilingual Sexism Classification: Fine-Tuned XLM-RoBERTa and GPT-3.5 Few-Shot Learning 03:51: Fine-tuning with HED-IT: The impact of human post-editing for dialogical language models 05:26: Can We Achieve High-quality Direct Speech-to-Speech Translation without Parallel Speech Data? 07:03: Joint Learning of Context and Feedback Embeddings in Spoken Dialogue 07:57: BertaQA: How Much Do Language Models Know About Local Culture? 09:17: MM-KWS: Multi-modal Prompts for Multilingual User-defined Keyword Spotting 10:20: CTC-based Non-autoregressive Textless Speech-to-Speech Translation 11:21: Toxic Memes: A Survey of Computational Perspectives on the Detection and Explanation of Meme Toxicities 13:27: GLIMPSE: Pragmatically Informative Multi-Document Summarization for Scholarly Reviews 14:40: BvSP: Broad-view Soft Prompting for Few-Shot Aspect Sentiment Quad Prediction 16:32: When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models 18:01: Limited Out-of-Context Knowledge Reasoning in Large Language Models 19:36: MINERS: Multilingual Language Models as Semantic Retrievers 20:42: Learning Domain-Invariant Features for Out-of-Context News Detection 22:03: Textual Similarity as a Key Metric in Machine Translation Quality Estimation 23:02: On the Robustness of Document-Level Relation Extraction Models to Entity Name Variations 24:31: Multimodal Belief Prediction 25:29: Advancing Annotation of Stance in Social Media Posts: A Comparative Analysis of Large Language Models and Crowd Sourcing 26:56: Paraphrasing in Affirmative Terms Improves Negation Understanding 27:37: CADS: A Systematic Literature Review on the Challenges of Abstractive Dialogue Summarization 29:38: TextGrad: Automatic "Differentiation" via Text 31:35: Just Because We Camp, Doesn't Mean We Should: The Ethics of Modelling Queer Voices 32:35: THaLLE: Text Hyperlocally Augmented Large Language Extension -- Technical Report 33:51: Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling 35:22: Simple and Effective Masked Diffusion Language Models 36:35: Open-LLM-Leaderboard: From Multi-choice to Open-style Questions for LLMs Evaluation, Benchmark, and Arena

Ep. 261 - Part 1 - June 11, 2024

ArXiv NLP research for Tuesday, June 11, 2024. 00:20: A Non-autoregressive Generation Framework for End-to-End Simultaneous Speech-to-Any Translation 01:41: Post-Hoc Answer Attribution for Grounded and Trustworthy Long Document Comprehension: Task, Insights, and Challenges 02:32: A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation 04:08: Evolving Subnetwork Training for Large Language Models 05:31: Missingness-resilient Video-enhanced Multimodal Disfluency Detection 06:37: Mitigating Boundary Ambiguity and Inherent Bias for Text Classification in the Era of Large Language Models 08:14: Crayon: Customized On-Device LLM via Instant Adapter Blending and Edge-Server Hybrid Inference 09:33: Delving into ChatGPT usage in academic writing through excess vocabulary 10:53: Paying More Attention to Source Context: Mitigating Unfaithful Translations from Large Language Model 12:12: CoEvol: Constructing Better Responses for Instruction Finetuning through Multi-Agent Cooperation 13:26: Effectively Compress KV Heads for LLM 15:00: Benchmarking Trustworthiness of Multimodal Large Language Models: A Comprehensive Study 16:54: Reading Miscue Detection in Primary School through Automatic Speech Recognition 18:09: HalluDial: A Large-Scale Benchmark for Automatic Dialogue-Level Hallucination Evaluation 20:01: DARA: Decomposition-Alignment-Reasoning Autonomous Language Agent for Question Answering over Knowledge Graphs 21:15: Efficiently Exploring Large Language Models for Document-Level Machine Translation with In-context Learning 22:35: Advancing Tool-Augmented Large Language Models: Integrating Insights from Errors in Inference Trees 24:42: Translating speech with just images 25:35: Never Miss A Beat: An Efficient Recipe for Context Window Extension of Large Language Models with Consistent "Middle" Enhancement 26:51: Teaching Language Models to Self-Improve by Learning from Language Feedback 28:25: Merging Improves Self-Critique Against Jailbreak Attacks 29:18: Towards Human-AI Collaboration in Healthcare: Guided Deferral Systems with Large Language Models 30:11: Improving Autoformalization using Type Checking 31:37: Improving Commonsense Bias Classification by Mitigating the Influence of Demographic Terms 33:19: Decipherment-Aware Multilingual Learning in Jointly Trained Language Models 34:20: DUAL-REFLECT: Enhancing Large Language Models for Reflective Translation through Dual Learning Feedback Mechanisms 35:20: On the Hallucination in Simultaneous Machine Translation 36:07: MBBQ: A Dataset for Cross-Lingual Comparison of Stereotypes in Generative LLMs 37:42: Scholarly Question Answering using Large Language Models in the NFDI4DataScience Gateway