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TitleStatusHype
GPT-HateCheck: Can LLMs Write Better Functional Tests for Hate Speech Detection?Code0
Self-Adaptive Reconstruction with Contrastive Learning for Unsupervised Sentence Embeddings0
Seeing is Believing: Mitigating Hallucination in Large Vision-Language Models via CLIP-Guided DecodingCode1
Improving Sentence Embeddings with Automatic Generation of Training Data Using Few-shot ExamplesCode0
Bias and Volatility: A Statistical Framework for Evaluating Large Language Model's Stereotypes and the Associated Generation Inconsistency0
DeMPT: Decoding-enhanced Multi-phase Prompt Tuning for Making LLMs Be Better Context-aware TranslatorsCode0
2D Matryoshka Sentence EmbeddingsCode4
Noise-BERT: A Unified Perturbation-Robust Framework with Noise Alignment Pre-training for Noisy Slot Filling Task0
GATE X-E : A Challenge Set for Gender-Fair Translations from Weakly-Gendered Languages0
Less is More: Mitigating Multimodal Hallucination from an EOS Decision PerspectiveCode2
Overview of the VLSP 2023 -- ComOM Shared Task: A Data Challenge for Comparative Opinion Mining from Vietnamese Product Reviews0
Can You Learn Semantics Through Next-Word Prediction? The Case of EntailmentCode0
Unsupervised Text Style Transfer via LLMs and Attention Masking with Multi-way Interactions0
ChatEL: Entity Linking with ChatbotsCode0
Explaining Relationships Among Research Papers0
Simpson's Paradox and the Accuracy-Fluency Tradeoff in Translation0
Are ELECTRA's Sentence Embeddings Beyond Repair? The Case of Semantic Textual SimilarityCode0
UMBCLU at SemEval-2024 Task 1A and 1C: Semantic Textual Relatedness with and without machine translationCode0
SiLLM: Large Language Models for Simultaneous Machine TranslationCode1
Advancing Large Language Models to Capture Varied Speaking Styles and Respond Properly in Spoken ConversationsCode2
More Discriminative Sentence Embeddings via Semantic Graph SmoothingCode0
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue SummarizationCode1
Asynchronous and Segmented Bidirectional Encoding for NMT0
Do Pre-Trained Language Models Detect and Understand Semantic Underspecification? Ask the DUST!Code0
Machine-Generated Text LocalizationCode1
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