ielabgroup/dse-qwen2-2b-mrl-v1-safetensor Visual Document Retrieval • 2B • Updated 4 days ago • 222 • 1
Implicit Feedback for Dense Passage Retrieval: A Counterfactual Approach Paper • 2204.00718 • Published Apr 1, 2022
Pseudo Relevance Feedback is Enough to Close the Gap Between Small and Large Dense Retrieval Models Paper • 2503.14887 • Published Mar 19
LLM-VPRF: Large Language Model Based Vector Pseudo Relevance Feedback Paper • 2504.01448 • Published Apr 2
TPRF: A Transformer-based Pseudo-Relevance Feedback Model for Efficient and Effective Retrieval Paper • 2401.13509 • Published Jan 24, 2024
Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback: A Reproducibility Study Paper • 2112.06400 • Published Dec 13, 2021
AgAsk: An Agent to Help Answer Farmer's Questions From Scientific Documents Paper • 2212.10762 • Published Dec 21, 2022
MeSH Suggester: A Library and System for MeSH Term Suggestion for Systematic Review Boolean Query Construction Paper • 2212.09018 • Published Dec 18, 2022
Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls Paper • 2108.11044 • Published Aug 25, 2021
How does Feedback Signal Quality Impact Effectiveness of Pseudo Relevance Feedback for Passage Retrieval? Paper • 2205.05888 • Published May 12, 2022
To Interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers Paper • 2205.00235 • Published Apr 30, 2022
MeSH Term Suggestion for Systematic Review Literature Search Paper • 2112.00277 • Published Dec 1, 2021
ielabgroup/dse-qwen2-2b-mrl-v1-safetensor Visual Document Retrieval • 2B • Updated 4 days ago • 222 • 1
Qwen2.5 Collection Qwen2.5 language models, including pretrained and instruction-tuned models of 7 sizes, including 0.5B, 1.5B, 3B, 7B, 14B, 32B, and 72B. • 46 items • Updated Jul 21 • 641
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models Paper • 2501.13629 • Published Jan 23 • 49