Papers Sentence Retrieval
“Sentence Retrieval” 태그가 달린 논문 82편 · 필터 해제
sEEG-based Encoding for Sentence Retrieval: A Contrastive Learning Approach to Brain-Language Alignment
Interpreting neural activity through meaningful latent representations remains a complex and evolving challenge at the intersection of neuroscience and artificial intelligence. We investigate the potential of multimodal …
Contrastive LearningSentenceSentence EmbeddingSentence-Embedding+1TROVE: A Challenge for Fine-Grained Text Provenance via Source Sentence Tracing and Relationship Classification
LLMs have achieved remarkable fluency and coherence in text generation, yet their widespread adoption has raised concerns about content reliability and accountability. In high-stakes domains such as healthcare, law, and …
RetrievalSentenceSentence RetrievalText GenerationPeerQA: A Scientific Question Answering Dataset from Peer Reviews
We present PeerQA, a real-world, scientific, document-level Question Answering (QA) dataset. PeerQA questions have been sourced from peer reviews, which contain questions that reviewers raised while thoroughly examining …
answerability predictionAnswer GenerationArticlesPassage Retrieval+5Towards Linguistic Neural Representation Learning and Sentence Retrieval from Electroencephalogram Recordings
Decoding linguistic information from non-invasive brain signals using EEG has gained increasing research attention due to its vast applicational potential. Recently, a number of works have adopted a generative-based fram…
EEGEeg DecodingElectroencephalogram (EEG)Representation Learning+3Preference Tuning For Toxicity Mitigation Generalizes Across Languages
Detoxifying multilingual Large Language Models (LLMs) has become crucial due to their increasing global use. In this work, we explore zero-shot cross-lingual generalization of preference tuning in detoxifying LLMs. Unlik…
RetrievalSentenceSentence RetrievalTopicwise Separable Sentence Retrieval for Medical Report Generation
Automated radiology reporting holds immense clinical potential in alleviating the burdensome workload of radiologists and mitigating diagnostic bias. Recently, retrieval-based report generation methods have garnered incr…
DecoderDiagnosticMedical Report GenerationRetrieval+23SHNet: Boosting Image-Sentence Retrieval via Visual Semantic-Spatial Self-Highlighting
In this paper, we propose a novel visual Semantic-Spatial Self-Highlighting Network (termed 3SHNet) for high-precision, high-efficiency and high-generalization image-sentence retrieval. 3SHNet highlights the salient iden…
Cross-Modal RetrievalRetrievalSentenceSentence RetrievalSetCSE: Set Operations using Contrastive Learning of Sentence Embeddings
Taking inspiration from Set Theory, we introduce SetCSE, an innovative information retrieval framework. SetCSE employs sets to represent complex semantics and incorporates well-defined operations for structured informati…
Contrastive LearningInformation RetrievalRetrievalSentence+4M3: A Multi-Task Mixed-Objective Learning Framework for Open-Domain Multi-Hop Dense Sentence Retrieval
In recent research, contrastive learning has proven to be a highly effective method for representation learning and is widely used for dense retrieval. However, we identify that relying solely on contrastive learning can…
Contrastive LearningFact VerificationMulti-Task LearningRepresentation Learning+3SPLADE-v3: New baselines for SPLADE
A companion to the release of the latest version of the SPLADE library. We describe changes to the training structure and present our latest series of models -- SPLADE-v3. We compare this new version to BM25, SPLADE++, a…
Passage RetrievalSentence RetrievalZero Shot on BEIR (Inference Free Model)Discovering Low-rank Subspaces for Language-agnostic Multilingual Representations
Large pretrained multilingual language models (ML-LMs) have shown remarkable capabilities of zero-shot cross-lingual transfer, without direct cross-lingual supervision. While these results are promising, follow-up works …
Cross-Lingual TransferPretrained Multilingual Language ModelsRetrievalSentence+2Fast and Accurate Factual Inconsistency Detection Over Long Documents
Generative AI models exhibit remarkable potential; however, hallucinations across various tasks present a significant challenge, particularly for longer inputs that current approaches struggle to address effectively. We …
ChunkingNatural Language InferenceRetrievalSentence+1Soft Language Clustering for Multilingual Model Pre-training
Multilingual pre-trained language models have demonstrated impressive (zero-shot) cross-lingual transfer abilities, however, their performance is hindered when the target language has distant typology from source languag…
ClusteringCross-Lingual TransfermodelQuestion Answering+6Crosslingual Transfer Learning for Low-Resource Languages Based on Multilingual Colexification Graphs
In comparative linguistics, colexification refers to the phenomenon of a lexical form conveying two or more distinct meanings. Existing work on colexification patterns relies on annotated word lists, limiting scalability…
Multilingual NLPRetrievalSentenceSentence Classification+2How to Train Your DRAGON: Diverse Augmentation Towards Generalizable Dense Retrieval
Various techniques have been developed in recent years to improve dense retrieval (DR), such as unsupervised contrastive learning and pseudo-query generation. Existing DRs, however, often suffer from effectiveness tradeo…
Contrastive LearningData AugmentationPassage RetrievalRetrieval+1Cross-modal Semantic Enhanced Interaction for Image-Sentence Retrieval
Image-sentence retrieval has attracted extensive research attention in multimedia and computer vision due to its promising application. The key issue lies in jointly learning the visual and textual representation to accu…
cross-modal alignmentObjectRetrievalSentence+1ConTra: (Con)text (Tra)nsformer for Cross-Modal Video Retrieval
In this paper, we re-examine the task of cross-modal clip-sentence retrieval, where the clip is part of a longer untrimmed video. When the clip is short or visually ambiguous, knowledge of its local temporal context (i.e…
RetrievalSentenceSentence RetrievalVideo RetrievalMassively Multilingual Lexical Specialization of Multilingual Transformers
While pretrained language models (PLMs) primarily serve as general-purpose text encoders that can be fine-tuned for a wide variety of downstream tasks, recent work has shown that they can also be rewired to produce high-…
Bilingual Lexicon InductionRetrievalSentenceSentence Retrieval+3Unsupervised Context Aware Sentence Representation Pretraining for Multi-lingual Dense Retrieval
Recent research demonstrates the effectiveness of using pretrained language models (PLM) to improve dense retrieval and multilingual dense retrieval. In this work, we present a simple but effective monolingual pretrainin…
Language ModellingPassage RetrievalRetrievalSentence+3EMS: Efficient and Effective Massively Multilingual Sentence Embedding Learning
Massively multilingual sentence representation models, e.g., LASER, SBERT-distill, and LaBSE, help significantly improve cross-lingual downstream tasks. However, the use of a large amount of data or inefficient model arc…
Contrastive LearningGenre classificationGPURepresentation Learning+7