https://github.com/ptarau/recursors
공식 코드Full Automation of Goal-driven LLM Dialog Threads with And-Or Recursors and Refiner Oracles
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Semantic textual similarity deals with determining how similar two pieces of texts are. This can take the form of assigning a score from 1 to 5. Related tasks are paraphrase or duplicate identification.
Image source: Learning Semantic Textual Similarity from Conversations
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Full Automation of Goal-driven LLM Dialog Threads with And-Or Recursors and Refiner Oracles
Improving Adversarial Robustness with Self-Paced Hard-Class Pair Reweighting
Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence Benchmarks
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language
Syntactically Robust Training on Partially-Observed Data for Open Information Extraction
Semantic-Aware Resource Management for C-V2X Platooning via Multi-Agent Reinforcement Learning
Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning
Distilling the Knowledge of Romanian BERTs Using Multiple Teachers
Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction
RoMe: A Robust Metric for Evaluating Natural Language Generation
Linked Credibility Reviews for Explainable Misinformation Detection
beeFormer: Bridging the Gap Between Semantic and Interaction Similarity in Recommender Systems
REINFOREST: Reinforcing Semantic Code Similarity for Cross-Lingual Code Search Models
Scalable Learning With a Structural Recurrent Neural Network for Short-Term Traffic Prediction
TFW2V: An Enhanced Document Similarity Method for the Morphologically Rich Finnish Language
Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction
Debiased Contrastive Learning of Unsupervised Sentence Representations
Reasoning to Attend: Try to Understand How <SEG> Token Works
Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs
Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs
One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts
Fake News Detection After LLM Laundering: Measurement and Explanation
An Isotropy Analysis in the Multilingual BERT Embedding Space
Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations
Micro-video Tagging via Jointly Modeling Social Influence and Tag Relation
SemEval-2024 Task 1: Semantic Textual Relatedness for African and Asian Languages
SNCSE: Contrastive Learning for Unsupervised Sentence Embedding with Soft Negative Samples
Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.