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Natural Language Processing

46,586 papers (52 classified directly here)

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Papers (including subtopics)

Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language Models NeurIPS 2024 Latent vs Explicit Knowledge Representation: How ChatGPT Answers Questions about Low-Frequency Entities COLING 2024 Lateral Inversions, Word Form/Order, Unnamed Grammatical Entities and Ambiguities in the Constituency Parsing and Annotation of the Igala Syntax through the English Language COLING 2024 LatestEval: Addressing Data Contamination in Language Model Evaluation through Dynamic and Time-Sensitive Test Construction AAAI 2024 LatEval: An Interactive LLMs Evaluation Benchmark with Incomplete Information from Lateral Thinking Puzzles COLING 2024 Latin Treebanks in Review: An Evaluation of Morphological Tagging Across Time ACL 2024 LatticeGen: Hiding Generated Text in a Lattice for Privacy-Aware Large Language Model Generation on Cloud NAACL 2024 Latxa: An Open Language Model and Evaluation Suite for Basque ACL 2024 LA-UCL: LLM-Augmented Unsupervised Contrastive Learning Framework for Few-Shot Text Classification COLING 2024 LawBench: Benchmarking Legal Knowledge of Large Language Models EMNLP 2024 Layer-wise Regularized Dropout for Neural Language Models COLING 2024 Layer-Wise Representation Fusion for Compositional Generalization AAAI 2024 Laying Anchors: Semantically Priming Numerals in Language Modeling NAACL 2024 LayoutFormer: Hierarchical Text Detection Towards Scene Text Understanding CVPR 2024 LayoutLLM: Large Language Model Instruction Tuning for Visually Rich Document Understanding COLING 2024 LayoutLLM: Layout Instruction Tuning with Large Language Models for Document Understanding CVPR 2024 LayoutPointer: A Spatial-Context Adaptive Pointer Network for Visual Information Extraction NAACL 2024 LC4EE: LLMs as Good Corrector for Event Extraction ACL 2024 LCS: A Language Converter Strategy for Zero-Shot Neural Machine Translation ACL 2024 Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs EACL 2024 Lean Workbook: A large-scale Lean problem set formalized from natural language math problems NeurIPS 2024 LeaPformer: Enabling Linear Transformers for Autoregressive and Simultaneous Tasks via Learned Proportions ICML 2024 Learnability Matters: Active Learning for Video Captioning NeurIPS 2024 Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning EMNLP 2024 Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers AISTATS 2024