Ep. 254 - Part 2 - June 4, 2024

ArXiv NLP research for Tuesday, June 04, 2024. 00:20: Description Boosting for Zero-Shot Entity and Relation Classification 01:44: Modeling Emotional Trajectories in Written Stories Utilizing Transformers and Weakly-Supervised Learning 03:09: Enhancing Retrieval-Augmented LMs with a Two-stage Consistency Learning Compressor 04:30: Prompting Large Language Models with Human Error Markings for Self-Correcting Machine Translation 05:41: mCoT: Multilingual Instruction Tuning for Reasoning Consistency in Language Models 06:53: Technical Language Processing for Telecommunications Specifications 08:09: On Affine Homotopy between Language Encoders 09:25: Translation Deserves Better: Analyzing Translation Artifacts in Cross-lingual Visual Question Answering 10:32: Probing the Category of Verbal Aspect in Transformer Language Models 11:58: Linguistic Fingerprint in Transformer Models: How Language Variation Influences Parameter Selection in Irony Detection 13:03: LlamaCare: A Large Medical Language Model for Enhancing Healthcare Knowledge Sharing 14:33: Retaining Key Information under High Compression Ratios: Query-Guided Compressor for LLMs 15:51: On the Intrinsic Self-Correction Capability of LLMs: Uncertainty and Latent Concept 17:30: Multiple Choice Questions and Large Languages Models: A Case Study with Fictional Medical Data 19:08: The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding 20:07: Representations as Language: An Information-Theoretic Framework for Interpretability 21:32: Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding 22:46: Hiding Text in Large Language Models: Introducing Unconditional Token Forcing Confusion 24:21: Language-Universal Speech Attributes Modeling for Zero-Shot Multilingual Spoken Keyword Recognition 25:37: Deterministic Reversible Data Augmentation for Neural Machine Translation 26:39: CheckEmbed: Effective Verification of LLM Solutions to Open-Ended Tasks 28:14: Scalable MatMul-free Language Modeling 30:03: SpecExec: Massively Parallel Speculative Decoding for Interactive LLM Inference on Consumer Devices 31:37: Mitigate Position Bias in Large Language Models via Scaling a Single Dimension 33:10: TopViewRS: Vision-Language Models as Top-View Spatial Reasoners