Semi-structured tables encode rich semantic information through diverse layout elements, such as hierarchical row and column headers. Answering numerical questions over such data is challenging because it requires a joint effort of accurate structural understanding of tables, question uncertainty resolution, and comple...
Feng Luo, Hui Luo, Zhi-Feng Bao et al.· 0 citations
This work recast subgraph generation as a Markov decision process and learn a value function via implicit Q-learning on self-generated trajectories produced by a canonical compression operator that inverts the homomorphism, and introduces IGMS, a log-determinant reward that couples semantic relevance, structural compat...
Dao-Min Ji, Hui Luo, Zhi-Feng Bao et al.· arXiv.org· 1 citation
This work proposes the first model merging framework for reasoning compression in recommender systems, and proposes selective injection of the concise behaviour of the fast-thinking model into the slow-thinking model and reducing reasoning verbosity without compromising recommendation quality.
Linh Le, Tong Chen, S. Sadiq et al.· 0 citations
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