Search Results for author:
Found 11 papers, 6 papers with code
DeepCircuitX: A Comprehensive Repository-Level Dataset for RTL Code Understanding, Generation, and PPA Analysis
This paper introduces DeepCircuitX, a comprehensive repository-level dataset designed to advance RTL (Register Transfer Level) code understanding, generation, and power-performance-area (PPA) analysis.
Dyve: Thinking Fast and Slow for Dynamic Process Verification
We present Dyve, a dynamic process verifier that enhances reasoning error detection in large language models by integrating fast and slow thinking, inspired by Kahneman's Systems Theory.
DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale
Circuit representation learning has become pivotal in electronic design automation, enabling critical tasks such as testability analysis, logic reasoning, power estimation, and SAT solving.
DeepGate3: Towards Scalable Circuit Representation Learning
Circuit representation learning has shown promising results in advancing the field of Electronic Design Automation (EDA).
DSPO: An End-to-End Framework for Direct Sorted Portfolio Construction
In quantitative investment, constructing characteristic-sorted portfolios is a crucial strategy for asset allocation.
Beyond Trend and Periodicity: Guiding Time Series Forecasting with Textual Cues
This work introduces a novel Text-Guided Time Series Forecasting (TGTSF) task.
GuardT2I: Defending Text-to-Image Models from Adversarial Prompts
Recent advancements in Text-to-Image (T2I) models have raised significant safety concerns about their potential misuse for generating inappropriate or Not-Safe-For-Work (NSFW) contents, despite existing countermeasures such as NSFW classifiers or model fine-tuning for inappropriate concept removal.
SpeechBrain: A General-Purpose Speech Toolkit
SpeechBrain is an open-source and all-in-one speech toolkit.
Attention is All You Need in Speech Separation
Transformers are emerging as a natural alternative to standard RNNs, replacing recurrent computations with a multi-head attention mechanism.
Ranked #7 on
Speech Separation
on WSJ0-3mix
Multi-task self-supervised learning for Robust Speech Recognition
We then propose a revised encoder that better learns short- and long-term speech dynamics with an efficient combination of recurrent and convolutional networks.
UR-FUNNY: A Multimodal Language Dataset for Understanding Humor
The dataset and accompanying studies, present a framework in multimodal humor detection for the natural language processing community.
