https://github.com/thisishwang/exit
공식 코드EXIT: Context-Aware Extractive Compression for Enhancing Retrieval-Augmented Generation
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EXIT: Context-Aware Extractive Compression for Enhancing Retrieval-Augmented Generation
UniFine: A Unified and Fine-grained Approach for Zero-shot Vision-Language Understanding
HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction
Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction
Long Text Generation by Modeling Sentence-Level and Discourse-Level Coherence
NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer
CDConv: A Benchmark for Contradiction Detection in Chinese Conversations
Persona-Guided Planning for Controlling the Protagonist's Persona in Story Generation
AutoRE: Document-Level Relation Extraction with Large Language Models
A Character-level Span-based Model for Mandarin Prosodic Structure Prediction
Improving the Transformer Translation Model with Document-Level Context
Denoising Relation Extraction from Document-level Distant Supervision
DocRED: A Large-Scale Document-Level Relation Extraction Dataset
FastFiD: Improve Inference Efficiency of Open Domain Question Answering via Sentence Selection
Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer
Differentiable Data Augmentation for Contrastive Sentence Representation Learning
Learning to Predict Concept Ordering for Common Sense Generation
Learning Semantically and Additively Compositional Distributional Representations
Facilitating Terminology Translation with Target Lemma Annotations
Transition-Based Generation from Abstract Meaning Representations
Why bother with geometry? On the relevance of linear decompositions of Transformer embeddings
SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization
Claim Extraction in Biomedical Publications using Deep Discourse Model and Transfer Learning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.