15 citations · 85 across the 22 of their papers we have counts for
22 papers
Hierarchical corpus encoder: Fusing generative retrieval and dense indices
Tongfei Chen, Ankita Sharma, Adam Pauls +1
Generative retrieval employs sequence models for conditional generation of document IDs based on a query (DSI (Tay et al., 2022); NCI (Wang et al., 2022); inter alia). While this h…
Multi-Field Adaptive Retrieval
Millicent Li, Tongfei Chen, Benjamin Van Durme +1
Document retrieval for tasks such as search and retrieval-augmented generation typically involves datasets that are unstructured: free-form text without explicit internal structure…
Streaming Sequence Transduction through Dynamic Compression
Weiting Tan, Yunmo Chen, Tongfei Chen +5
We introduce STAR (Stream Transduction with Anchor Representations), a novel Transformer-based model designed for efficient sequence-to-sequence transduction over streams. STAR dyn…
A Unified View of Evaluation Metrics for Structured Prediction
Yunmo Chen, William Gantt, Tongfei Chen +2
We present a conceptual framework that unifies a variety of evaluation metrics for different structured prediction tasks (e.g. event and relation extraction, syntactic and semantic…
An Empirical Study on Finding Spans
Weiwei Gu, Boyuan Zheng, Yunmo Chen +2
We present an empirical study on methods for span finding, the selection of consecutive tokens in text for some downstream tasks. We focus on approaches that can be employed in tra…
Iterative Document-level Information Extraction via Imitation Learning
Yunmo Chen, William Gantt, Weiwei Gu +3
We present a novel iterative extraction model, IterX, for extracting complex relations, or templates (i.e., N-tuples representing a mapping from named slots to spans of text) withi…