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Found 6 papers, 4 papers with code
INSTRUCTIR: A Benchmark for Instruction Following of Information Retrieval Models
Enhancing the capability of retrievers to understand intentions and preferences of users, akin to language model instructions, has the potential to yield more aligned search targets.
KTRL+F: Knowledge-Augmented In-Document Search
We introduce a new problem KTRL+F, a knowledge-augmented in-document search task that necessitates real-time identification of all semantic targets within a document with the awareness of external sources through a single natural query.
Zero-Shot Dense Video Captioning by Jointly Optimizing Text and Moment
This is accomplished by introducing a soft moment mask that represents a temporal segment in the video and jointly optimizing it with the prefix parameters of a language model.
Nonparametric Decoding for Generative Retrieval
The generative retrieval model depends solely on the information encoded in its model parameters without external memory, its information capacity is limited and fixed.
Generative Multi-hop Retrieval
A common practice for text retrieval is to use an encoder to map the documents and the query to a common vector space and perform a nearest neighbor search (NNS); multi-hop retrieval also often adopts the same paradigm, usually with a modification of iteratively reformulating the query vector so that it can retrieve different documents at each hop.
ViSeRet: A simple yet effective approach to moment retrieval via fine-grained video segmentation
Video-text retrieval has many real-world applications such as media analytics, surveillance, and robotics.
