AI knowledge base

Chain-of-Table is a reasoning linked list framework for table understanding, specially designed to handle tasks such as table-based question answering and fact verification. It uses tabular data as part of the reasoning chain and guides large language models to perform operation generation and table updating by learning in context, thereby forming a continuous reasoning chain that demonstrates the reasoning process for a given tabular problem. This chain of reasoning contains structured information about intermediate results, enabling more accurate and reliable predictions. Chain-of-Table achieves new state-of-the-art performance on multiple benchmarks including WikiTQ, FeTaQA and TabFact.

DocGraphLM is a document graph language model for information extraction and question answering. It uses advanced visual rich document understanding technology, combining pre-trained language models and graph semantics. It is unique in that it proposes a joint encoder architecture to represent documents and adopts a novel link prediction method to reconstruct the document graph. DocGraphLM predicts the direction and distance between nodes via a convergent joint loss function, prioritizing neighborhood recovery and downweighting remote node detection. Experiments on three SotA datasets show that employing graphical features can achieve consistent improvements in information extraction and question answering tasks. Furthermore, we report that employing graphical features accelerates convergence during training, even though these features are only constructed via link prediction.

Project Knowledge Exploration is an interactive search API for structured data developed by Microsoft Research. It interprets user queries and returns relevant results via natural language input. The API supports automatic query completion, quick retrieval of matching object details, visualization using attribute histograms, and an interactive segmentation experience. This product can be widely used in various scenarios, including knowledge graphs, data analysis, intelligent search, etc.