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TitleStatusHype
Deduplicating Training Data Makes Language Models BetterCode2
CCTC: A Cross-Sentence Chinese Text Correction Dataset for Native SpeakersCode2
DiffCSE: Difference-based Contrastive Learning for Sentence EmbeddingsCode2
BLASER: A Text-Free Speech-to-Speech Translation Evaluation MetricCode2
DreamLIP: Language-Image Pre-training with Long CaptionsCode2
MedCPT: Contrastive Pre-trained Transformers with Large-scale PubMed Search Logs for Zero-shot Biomedical Information RetrievalCode2
Enhancing Retrieval-Augmented Generation: A Study of Best PracticesCode2
Exploring Human-Like Translation Strategy with Large Language ModelsCode2
CLUE: A Chinese Language Understanding Evaluation BenchmarkCode2
Active Retrieval Augmented GenerationCode2
Generative Pretrained Structured Transformers: Unsupervised Syntactic Language Models at ScaleCode2
Aligning and Prompting Everything All at Once for Universal Visual PerceptionCode2
ALBERT: A Lite BERT for Self-supervised Learning of Language RepresentationsCode2
beeFormer: Bridging the Gap Between Semantic and Interaction Similarity in Recommender SystemsCode2
IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian LanguagesCode2
A Simple yet Effective Training-free Prompt-free Approach to Chinese Spelling Correction Based on Large Language ModelsCode2
ARAGOG: Advanced RAG Output GradingCode2
AutoRE: Document-Level Relation Extraction with Large Language ModelsCode2
Less is More: Mitigating Multimodal Hallucination from an EOS Decision PerspectiveCode2
BEYOND DIALOGUE: A Profile-Dialogue Alignment Framework Towards General Role-Playing Language ModelCode2
Compositional Entailment Learning for Hyperbolic Vision-Language ModelsCode2
NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level QualityCode2
One Thousand and One Pairs: A "novel" challenge for long-context language modelsCode2
Pretrained Transformers for Text Ranking: BERT and BeyondCode2
DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language ModelsCode2
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