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Found 10 papers, 4 papers with code
Mamba as Decision Maker: Exploring Multi-scale Sequence Modeling in Offline Reinforcement Learning
Sequential modeling has demonstrated remarkable capabilities in offline reinforcement learning (RL), with Decision Transformer (DT) being one of the most notable representatives, achieving significant success.
Interactive-KBQA: Multi-Turn Interactions for Knowledge Base Question Answering with Large Language Models
For each category of complex question, we devised exemplars to guide LLMs through the reasoning processes.
Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks
Textual label names (descriptions) are typically semantically rich in many natural language understanding (NLU) tasks.
Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness
The capability of Large Language Models (LLMs) like ChatGPT to comprehend user intent and provide reasonable responses has made them extremely popular lately.
AutoQGS: Auto-Prompt for Low-Resource Knowledge-based Question Generation from SPARQL
This study investigates the task of knowledge-based question generation (KBQG).
Eliciting Knowledge from Pretrained Language Models for Prototypical Prompt Verbalizer
The distances between the embedding at the masked position of input and prototypical embeddings are used as classification criterion.
Frequency-Aware Contrastive Learning for Neural Machine Translation
Inspired by the observation that low-frequency words form a more compact embedding space, we tackle this challenge from a representation learning perspective.
Point, Disambiguate and Copy: Incorporating Bilingual Dictionaries for Neural Machine Translation
This paper proposes a sophisticated neural architecture to incorporate bilingual dictionaries into Neural Machine Translation (NMT) models.
Spherically symmetric static black holes in Einstein-aether theory
In particular, we find that, out of the five non-trivial field equations, only three are independent, so the problem is well-posed, as now generically there are only three unknown functions, {$F(r), B(r), A(r)$, where $F$ and $B$ are metric coefficients, and $A$ describes the aether field.}
General Relativity and Quantum Cosmology Astrophysics of Galaxies High Energy Physics - Phenomenology High Energy Physics - Theory
Collaborative representation-based robust face recognition by discriminative low-rank representation
Collaborative representation based classification (CRC) method is exploited in our proposed method which has closed-form solution.
