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Found 6 papers, 5 papers with code
Logical Form Generation via Multi-task Learning for Complex Question Answering over Knowledge Bases
Question answering over knowledge bases (KBQA) for complex questions is a challenging task in natural language processing.
Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments
The applications of large language models (LLMs) have expanded well beyond the confines of text processing, signaling a new era where LLMs are envisioned as generalist language agents capable of operating within complex real-world environments.
Data Distribution Bottlenecks in Grounding Language Models to Knowledge Bases
Language models (LMs) have already demonstrated remarkable abilities in understanding and generating both natural and formal language.
Question Decomposition Tree for Answering Complex Questions over Knowledge Bases
To verify that QDT can enhance KBQA task, we design a decomposition-based KBQA system called QDTQA.
TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Bases
Pre-trained language models (PLMs) have shown their effectiveness in multiple scenarios.
Deep Learning for Sequential Recommendation: Algorithms, Influential Factors, and Evaluations
In the field of sequential recommendation, deep learning (DL)-based methods have received a lot of attention in the past few years and surpassed traditional models such as Markov chain-based and factorization-based ones.
