text reconstruction

STRinGS: Selective Text Refinement in Gaussian Splatting WACV 2026 Gradient Inversion Attack in Federated Learning: Exposing Text Data through Discrete Optimization COLING 2025 Memory Tokens: Large Language Models Can Generate Reversible Sentence Embeddings ACL 2025 Pretraining Context Compressor for Large Language Models with Embedding-Based Memory ACL 2025 Seeing Through the Mask: AI-Generated Text Detection with Similarity-Guided Graph Reasoning IJCNLP 2025 Uncovering Argumentative Flow: A Question-Focus Discourse Structuring Framework EMNLP 2025 Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction EACL 2024 DAGER: Exact Gradient Inversion for Large Language Models NeurIPS 2024 Embible: Reconstruction of Ancient Hebrew and Aramaic Texts Using Transformers EACL 2024 MapGuide: A Simple yet Effective Method to Reconstruct Continuous Language from Brain Activities NAACL 2024 MsBERT: A New Model for the Reconstruction of Lacunae in Hebrew Manuscripts ACL 2024 Text Embedding Inversion Security for Multilingual Language Models ACL 2024 Fiction-Writing Mode: An Effective Control for Human-Machine Collaborative Writing EACL 2023 One-Model-Connects-All: A Unified Graph Pre-Training Model for Online Community Modeling EMNLP 2023 Robust Referring Video Object Segmentation with Cyclic Structural Consensus ICCV 2023 Text Embeddings Reveal (Almost) As Much As Text EMNLP 2023 Unnatural Error Correction: GPT-4 Can Almost Perfectly Handle Unnatural Scrambled Text EMNLP 2023 LAMP: Extracting Text from Gradients with Language Model Priors NeurIPS 2022 Recovering Private Text in Federated Learning of Language Models NeurIPS 2022 Entity-level Cross-modal Learning Improves Multi-modal Machine Translation EMNLP 2021 SCAR: Sentence Compression using Autoencoders for Reconstruction ACL 2020 Learning Document Embeddings with Crossword Prediction AAAI 2019 Joint Learning from Labeled and Unlabeled Data for Information Retrieval COLING 2018