ArXiv NLP research for Monday, June 10, 2024.

00:19: Shoulders of Giants: A Look at the Degree and Utility of Openness in NLP Research

00:59: HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs

02:29: The Curse of Popularity: Popular Entities have Catastrophic Side Effects when Deleting Knowledge from Language Models

03:24: MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models

04:51: A Multidimensional Framework for Evaluating Lexical Semantic Change with Social Science Applications

05:49: Synth-SBDH: A Synthetic Dataset of Social and Behavioral Determinants of Health for Clinical Text

07:10: Efficient k-Nearest-Neighbor Machine Translation with Dynamic Retrieval

09:08: Recurrent Context Compression: Efficiently Expanding the Context Window of LLM

10:35: Enhancing Long-Term Memory using Hierarchical Aggregate Tree for Retrieval Augmented Generation

11:26: Verifiable Generation with Subsentence-Level Fine-Grained Citations

12:36: Comparing Data Augmentation Methods for End-to-End Task-Oriented Dialog Systems

13:55: Building Bridges: A Dataset for Evaluating Gender-Fair Machine Translation into German

15:28: Can I understand what I create? Self-Knowledge Evaluation of Large Language Models

16:28: Language Models Resist Alignment

17:58: LINGOLY: A Benchmark of Olympiad-Level Linguistic Reasoning Puzzles in Low-Resource and Extinct Languages

19:27: Learning Fine-Grained Controllability on Speech Generation via Efficient Fine-Tuning

20:27: Combining Embeddings and Domain Knowledge for Job Posting Duplicate Detection

21:37: MaskLID: Code-Switching Language Identification through Iterative Masking

22:49: Multi-Prompting Decoder Helps Better Language Understanding

24:22: Tx-LLM: A Large Language Model for Therapeutics

26:21: Self-Tuning: Instructing LLMs to Effectively Acquire New Knowledge through Self-Teaching

27:43: A Parameter-efficient Language Extension Framework for Multilingual ASR

29:06: MedExQA: Medical Question Answering Benchmark with Multiple Explanations

30:36: Sustained Vowels for Pre- vs Post-Treatment COPD Classification

31:49: MASSW: A New Dataset and Benchmark Tasks for AI-Assisted Scientific Workflows

33:40: Symmetric Dot-Product Attention for Efficient Training of BERT Language Models

35:00: Annotation alignment: Comparing LLM and human annotations of conversational safety

36:07: mHuBERT-147: A Compact Multilingual HuBERT Model

37:27: Should We Fine-Tune or RAG? Evaluating Different Techniques to Adapt LLMs for Dialogue

39:00: INTERSPEECH 2009 Emotion Challenge Revisited: Benchmarking 15 Years of Progress in Speech Emotion Recognition

40:06: Meta Learning Text-to-Speech Synthesis in over 7000 Languages

40:59: Controlling Emotion in Text-to-Speech with Natural Language Prompts

41:55: Language Models are Alignable Decision-Makers: Dataset and Application to the Medical Triage Domain

43:29: Multimodal Contextualized Semantic Parsing from Speech

44:25: Interpretability of Language Models via Task Spaces

45:45: Evaluating the Retrieval Component in LLM-Based Question Answering Systems

46:52: Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning Strategies

48:08: Can Language Models Serve as Text-Based World Simulators?