https://github.com/sharif-slpl/se-2024-task-06-shroom
공식 코드SLPL SHROOM at SemEval2024 Task 06: A comprehensive study on models ability to detect hallucination
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.
SLPL SHROOM at SemEval2024 Task 06: A comprehensive study on models ability to detect hallucination
TPSeNCE: Towards Artifact-Free Realistic Rain Generation for Deraining and Object Detection in Rain
DiffSim: Taming Diffusion Models for Evaluating Visual Similarity
Transformers for Green Semantic Communication: Less Energy, More Semantics
A Semantic Relevance Based Neural Network for Text Summarization and Text Simplification
Zero-Shot Object Goal Visual Navigation With Class-Independent Relationship Network
Term Expansion and FinBERT fine-tuning for Hypernym and Synonym Ranking of Financial Terms
Agile Effort Estimation: Have We Solved the Problem Yet? Insights From A Replication Study
TransFool: An Adversarial Attack against Neural Machine Translation Models
MTFH: A Matrix Tri-Factorization Hashing Framework for Efficient Cross-Modal Retrieval
Global Explainability of BERT-Based Evaluation Metrics by Disentangling along Linguistic Factors
Doubly-Trained Adversarial Data Augmentation for Neural Machine Translation
EASE: Entity-Aware Contrastive Learning of Sentence Embedding
Single-View Graph Contrastive Learning with Soft Neighborhood Awareness
Reinforcement Replaces Supervision: Query focused Summarization using Deep Reinforcement Learning
LDIR: Low-Dimensional Dense and Interpretable Text Embeddings with Relative Representations
Decoupling Semantic Similarity from Spatial Alignment for Neural Networks
MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices
Long Text Generation by Modeling Sentence-Level and Discourse-Level Coherence
A Clustering Framework for Unsupervised and Semi-supervised New Intent Discovery
ERNIE: Enhanced Language Representation with Informative Entities
Meaning Representations from Trajectories in Autoregressive Models
LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale
Why Not Simply Translate? A First Swedish Evaluation Benchmark for Semantic Similarity
ELITE: Embedding-Less retrieval with Iterative Text Exploration
Factorising Meaning and Form for Intent-Preserving Paraphrasing
DriveDiTFit: Fine-tuning Diffusion Transformers for Autonomous Driving
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.