Search Results for author:
Found 6 papers, 3 papers with code
PaSa: An LLM Agent for Comprehensive Academic Paper Search
Notably, PaSa-7B surpasses the best Google-based baseline, Google with GPT-4o, by 37. 78% in recall@20 and 39. 90% in recall@50.
Are AI-Generated Text Detectors Robust to Adversarial Perturbations?
The SCRN employs a reconstruction network to add and remove noise from text, extracting a semantic representation that is robust to local perturbations.
Improving Generalization and Convergence by Enhancing Implicit Regularization
In this work, we propose an Implicit Regularization Enhancement (IRE) framework to accelerate the discovery of flat solutions in deep learning, thereby improving generalization and convergence.
AGILE: A Novel Reinforcement Learning Framework of LLM Agents
Our ablation study highlights the indispensability of memory, tools, consultation, reflection, and reinforcement learning in achieving the agent's strong performance.
SAN: a robust end-to-end ASR model architecture
In this paper, we propose a novel Siamese Adversarial Network (SAN) architecture for automatic speech recognition, which aims at solving the difficulty of fuzzy audio recognition.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
The Knowledge Graph for Macroeconomic Analysis with Alternative Big Data
The current knowledge system of macroeconomics is built on interactions among a small number of variables, since traditional macroeconomic models can mostly handle a handful of inputs.
