cs.CL

Papers

• NER Retriever: Zero-Shot Named Entity Retrieval with Type-Aware Embeddings (2025)
  Or Shachar et al.
  12.55
• Multi-Vector Index Compression in Any Modality (2026)
  Hanxiang Qin et al.
  11.70
• Efficient Constant-Space Multi-Vector Retrieval (2025)
  Sean MacAvaney et al.
  9.93
• PaperRegister: Boosting Flexible-grained Paper Search via Hierarchical Register Indexing (2026)
  Zhuoqun Li et al.
  8.88
• Towards Storage-Efficient Visual Document Retrieval: An Empirical Study on Reducing Patch-Level Embeddings (2025)
  Yubo Ma et al.
  8.09
• Vectorizing the Trie: Efficient Constrained Decoding for LLM-based Generative Retrieval on Accelerators (2026)
  Zhengyang Su et al.
  7.43
• CRINN: Contrastive Reinforcement Learning for Approximate Nearest Neighbor Search (2025)
  Xiaoya Li et al.
  5.67
• LACONIC: Dense-Level Effectiveness for Scalable Sparse Retrieval via a Two-Phase Training Curriculum (2026)
  Zhichao Xu et al.
  2.94
• DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation (2026)
  Jiamin Chen et al.
  1.96
• Looking Beyond Text: Reducing Language bias in Large Vision-Language Models via Multimodal Dual-Attention and Soft-Image Guidance (2026)
  Haozhe Zhao et al.
  0.00
• QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning (2025)
  Moses Ananta et al.
  0.00
• MENTOR: Efficient Multimodal-Conditioned Tuning for Autoregressive Vision Generation Models (2026)
  Haozhe Zhao et al.
  0.00
• Analyzing Persona Effects in Generated Explanations from Multimodal LLM Agents in Urban Perception (2026)
  Neemias da Silva et al.
  0.00
• On Asymmetric Optimization of Reasoning and Perception in Vision-Language Model Post-Training (2026)
  Xueqing Wu et al.
  0.00
• Mask the Target: A Plug-and-Play Regularizer Against LoRA Forgetting (2026)
  Runze Xu et al.
  0.00
• Query Clustering using Segment Specific Context Embeddings (2016)
  S.K Kolluru and Prasenjit Mukherjee
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• Search Personalization with Embeddings (2017)
  Thanh Vu et al.
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• Pyndri: a Python Interface to the Indri Search Engine (2017)
  Christophe Van Gysel and Evangelos Kanoulas and Maarten de Rijke
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• Bib2vec: An Embedding-based Search System for Bibliographic Information (2018)
  Takuma Yoneda and Koki Mori and Makoto Miwa and Yutaka Sasaki
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• On Type-Aware Entity Retrieval (2017)
  Dar\'io Garigliotti and Krisztian Balog
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• Unbounded cache model for online language modeling with open vocabulary (2017)
  Edouard Grave et al.
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• Using Additional Indexes for Fast Full-Text Search of Phrases That Contain Frequently Used Words (2018)
  A. B. Veretennikov
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• A Study on Passage Re-ranking in Embedding based Unsupervised Semantic Search (2019)
  Md Faisal Mahbub Chowdhury and Vijil Chenthamarakshan and Rishav Chakravarti and Alfio M. Gliozzo
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• NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing (2018)
  Dinghan Shen et al.
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• Fast Locality Sensitive Hashing for Beam Search on GPU (2018)
  Xing Shi et al.
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• A Generalized Vector Space Model for Ontology-Based Information Retrieval (2018)
  Vuong M. Ngo and Tru H. Cao
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• A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization (2019)
  Dai Quoc Nguyen and Thanh Vu and Tu Dinh Nguyen and Dat Quoc Nguyen and Dinh Phung
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• End-to-End Retrieval in Continuous Space (2018)
  Daniel Gillick et al.
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• Image search using multilingual texts: a cross-modal learning approach between image and text (2019)
  Maxime Portaz et al.
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• An Efficient Approach for Super and Nested Term Indexing and Retrieval (2019)
  Md Faisal Mahbub Chowdhury et al.
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• Table2Vec: Neural Word and Entity Embeddings for Table Population and Retrieval (2019)
  Li Deng et al.
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• Unsupervised Neural Generative Semantic Hashing (2019)
  Casper Hansen and Christian Hansen and Jakob Grue Simonsen and Stephen Alstrup and Christina Lioma
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• Practical User Feedback-driven Internal Search Using Online Learning to Rank (2019)
  Rajhans Samdani et al.
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• Large Memory Layers with Product Keys (2019)
  Guillaume Lample et al.
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• Generic Intent Representation in Web Search (2019)
  Hongfei Zhang et al.
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• Hamming Sentence Embeddings for Information Retrieval (2019)
  Felix Hamann et al.
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• Learning Dense Representations for Entity Retrieval (2019)
  Daniel Gillick et al.
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• Embedding Compression with Isotropic Iterative Quantization (2020)
  Siyu Liao et al.
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• Concept Embedding for Information Retrieval (2020)
  Karam Abdulahhad
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• Graph-Embedding Empowered Entity Retrieval (2020)
  Emma J. Gerritse et al.
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• Transformer Based Language Models for Similar Text Retrieval and Ranking (2020)
  Javed Qadrud-Din et al.
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• Table Search Using a Deep Contextualized Language Model (2020)
  Zhiyu Chen et al.
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• Unsupervised Semantic Hashing with Pairwise Reconstruction (2020)
  Casper Hansen and Christian Hansen and Jakob Grue Simonsen and Stephen Alstrup and Christina Lioma
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• Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval (2020)
  Lee Xiong et al.
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• Active Learning for Product Type Ontology Enhancement in E-commerce (2021)
  Yun Zhu et al.
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• A Streaming Approach For Efficient Batched Beam Search (2021)
  Kevin Yang et al.
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• Unsupervised Bitext Mining and Translation via Self-trained Contextual Embeddings (2020)
  Phillip Keung et al.
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• Dynamic Boundary Time Warping for Sub-sequence Matching with Few Examples (2024)
  {\L}ukasz Borchmann et al.
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• Fixed-Length Protein Embeddings using Contextual Lenses (2020)
  Amir Shanehsazzadeh et al.
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• Event-Driven Query Expansion (2020)
  Guy D. Rosin et al.
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