Tsung-Yi Ho
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View article: Pac-PIM: A Parallel Communication Framework for Commodity Processing-in-memory Systems
Pac-PIM: A Parallel Communication Framework for Commodity Processing-in-memory Systems Open
Processing-in-memory (PIM) is a promising paradigm to effectively alleviate the bottleneck of memory access for memory-intensive applications. UPMEM PIM-enabled DIMMs, the first commercially available PIM platform integrating processing el…
View article: ConfiBench: Automatic Testbench Generation with Confidence-Based Scenario Mask and Testbench Ensemble using LLMs for HDL Design
ConfiBench: Automatic Testbench Generation with Confidence-Based Scenario Mask and Testbench Ensemble using LLMs for HDL Design Open
Functional simulation is an essential step in digital hardware design. Recently, there has been a growing interest in leveraging Large Language Models (LLMs) for hardware testbench generation tasks. However, the inherent instability associ…
View article: Adaptive Control-Logic Routing with Length Matching and Fault Tolerance for FPVA Biochips Using Deep Reinforcement Learning
Adaptive Control-Logic Routing with Length Matching and Fault Tolerance for FPVA Biochips Using Deep Reinforcement Learning Open
With the increasing integration level of flow-based microfluidics, fully programmable valve arrays (FPVAs) have emerged as the next generation of flow-based microfluidic devices. Microvalves in an FPVA are typically managed by a control lo…
View article: CARE: Decoding Time Safety Alignment via Rollback and Introspection Intervention
CARE: Decoding Time Safety Alignment via Rollback and Introspection Intervention Open
As large language models (LLMs) are increasingly deployed in real-world applications, ensuring the safety of their outputs during decoding has become a critical challenge. However, existing decoding-time interventions, such as Contrastive …
View article: Intelligent single-cell manipulation: LLMs- and object detection-enhanced active-matrix digital microfluidics
Intelligent single-cell manipulation: LLMs- and object detection-enhanced active-matrix digital microfluidics Open
View article: Attention Slipping: A Mechanistic Understanding of Jailbreak Attacks and Defenses in LLMs
Attention Slipping: A Mechanistic Understanding of Jailbreak Attacks and Defenses in LLMs Open
As large language models (LLMs) become more integral to society and technology, ensuring their safety becomes essential. Jailbreak attacks exploit vulnerabilities to bypass safety guardrails, posing a significant threat. However, the mecha…
View article: Rank-DSE: Neural Pareto Comparator of Microarchitecture Design Space Exploration
Rank-DSE: Neural Pareto Comparator of Microarchitecture Design Space Exploration Open
The complexity of microarchitecture design has surged due to the expanding design space and time-intensive verification processes. Existing regression-based machine learning methods struggle with inaccurate estimations because of limited t…
View article: An Optimal DFF-Oriented Technology Legalization Algorithm for Rapid Single-Flux-Quantum Circuits
An Optimal DFF-Oriented Technology Legalization Algorithm for Rapid Single-Flux-Quantum Circuits Open
View article: JBSA: A Bit-Serial Accelerator for Deep Neural Networks Using Superconducting SFQ Logic
JBSA: A Bit-Serial Accelerator for Deep Neural Networks Using Superconducting SFQ Logic Open
View article: Hey, That's My Data! Label-Only Dataset Inference in Large Language Models
Hey, That's My Data! Label-Only Dataset Inference in Large Language Models Open
Large Language Models (LLMs) have revolutionized Natural Language Processing by excelling at interpreting, reasoning about, and generating human language. However, their reliance on large-scale, often proprietary datasets poses a critical …
View article: Why LLM Safety Guardrails Collapse After Fine-tuning: A Similarity Analysis Between Alignment and Fine-tuning Datasets
Why LLM Safety Guardrails Collapse After Fine-tuning: A Similarity Analysis Between Alignment and Fine-tuning Datasets Open
Recent advancements in large language models (LLMs) have underscored their vulnerability to safety alignment jailbreaks, particularly when subjected to downstream fine-tuning. However, existing mitigation strategies primarily focus on reac…
View article: CoP: Agentic Red-teaming for Large Language Models using Composition of Principles
CoP: Agentic Red-teaming for Large Language Models using Composition of Principles Open
Recent advances in Large Language Models (LLMs) have spurred transformative applications in various domains, ranging from open-source to proprietary LLMs. However, jailbreak attacks, which aim to break safety alignment and user compliance …
View article: G-kway: Multilevel GPU-Accelerated k-way Graph Partitioner using Task Graph Parallelism
G-kway: Multilevel GPU-Accelerated k-way Graph Partitioner using Task Graph Parallelism Open
Graph partitioning is important for the design of many CAD algorithms. However, as the graph size continues to grow, graph partitioning becomes increasingly time-consuming. Recent research has introduced parallel graph partitioners using e…
View article: Retention Score: Quantifying Jailbreak Risks for Vision Language Models
Retention Score: Quantifying Jailbreak Risks for Vision Language Models Open
The emergence of Vision-Language Models (VLMs) is significant advancement in integrating computer vision with Large Language Models (LLMs) to enhance multi-modal machine learning capabilities. However, this progress has made VLMs vulnerabl…
View article: Token Highlighter: Inspecting and Mitigating Jailbreak Prompts for Large Language Models
Token Highlighter: Inspecting and Mitigating Jailbreak Prompts for Large Language Models Open
Large Language Models (LLMs) are increasingly being integrated into services such as ChatGPT to provide responses to user queries. To mitigate potential harm and prevent misuse, there have been concerted efforts to align the LLMs with huma…
View article: Digital inclusion or exclusion? Exploring the moderating role of governance in digitalization’s impact on income inequality in developing countries
Digital inclusion or exclusion? Exploring the moderating role of governance in digitalization’s impact on income inequality in developing countries Open
View article: BQSim: GPU-accelerated Batch Quantum Circuit Simulation using Decision Diagram
BQSim: GPU-accelerated Batch Quantum Circuit Simulation using Decision Diagram Open
View article: HeLO: A <u>He</u> terogeneous <u>L</u> ogic <u>O</u> ptimization Framework by Hierarchical Clustering and Graph Learning
HeLO: A He terogeneous L ogic O ptimization Framework by Hierarchical Clustering and Graph Learning Open
View article: ML-Based Fine-Grained Modeling of DC Current Crowding in Power Delivery TSVs for Face-to-Face 3D ICs
ML-Based Fine-Grained Modeling of DC Current Crowding in Power Delivery TSVs for Face-to-Face 3D ICs Open
View article: Adaptive Redistribution Layer Routing for Chiplet-Package Co-Design in 2.5D System
Adaptive Redistribution Layer Routing for Chiplet-Package Co-Design in 2.5D System Open
2.5D packaging has become a popular alternative to integrate advanced logic and memory chiplets for high-performance computing and artificial intelligence systems. In the conventional design flow, chiplets and packages are independently de…
View article: FMC-LLM: Enabling FPGAs for Efficient Batched Decoding of 70B+ LLMs with a Memory-Centric Streaming Architecture
FMC-LLM: Enabling FPGAs for Efficient Batched Decoding of 70B+ LLMs with a Memory-Centric Streaming Architecture Open
View article: Development and evaluation of physiochemical properties of acerola jelly
Development and evaluation of physiochemical properties of acerola jelly Open
View article: Review of: "DRC-Coder: Automated DRC Checker Code Generation Using LLM Autonomous Agent"
Review of: "DRC-Coder: Automated DRC Checker Code Generation Using LLM Autonomous Agent" Open
View article: InstantGR: Scalable GPU Parallelization for 3-D Global Routing
InstantGR: Scalable GPU Parallelization for 3-D Global Routing Open
View article: MCC: Multi-Cluster Contrastive Semi-Supervised Segmentation Framework for Echocardiogram Videos
MCC: Multi-Cluster Contrastive Semi-Supervised Segmentation Framework for Echocardiogram Videos Open
Variability in sonographer expertise often leads to low-quality ultrasound imaging, presenting significant challenges for accurate echocardiogram video segmentation. Current methods require extensive annotations, which are impractical give…
View article: Defensive Prompt Patch: A Robust and Generalizable Defense of Large Language Models against Jailbreak Attacks
Defensive Prompt Patch: A Robust and Generalizable Defense of Large Language Models against Jailbreak Attacks Open
View article: Token Highlighter: Inspecting and Mitigating Jailbreak Prompts for Large Language Models
Token Highlighter: Inspecting and Mitigating Jailbreak Prompts for Large Language Models Open
Large Language Models (LLMs) are increasingly being integrated into services such as ChatGPT to provide responses to user queries. To mitigate potential harm and prevent misuse, there have been concerted efforts to align the LLMs with huma…
View article: Retention Score: Quantifying Jailbreak Risks for Vision Language Models
Retention Score: Quantifying Jailbreak Risks for Vision Language Models Open
The emergence of Vision-Language Models (VLMs) is a significant advancement in integrating computer vision with Large Language Models (LLMs) to enhance multi-modal machine learning capabilities. However, this progress has also made VLMs vu…
View article: Echo: Simulating Distributed Training At Scale
Echo: Simulating Distributed Training At Scale Open
Simulation offers unique values for both enumeration and extrapolation purposes, and is becoming increasingly important for managing the massive machine learning (ML) clusters and large-scale distributed training jobs. In this paper, we bu…
View article: RankTuner: When Design Tool Parameter Tuning Meets Preference Bayesian Optimization
RankTuner: When Design Tool Parameter Tuning Meets Preference Bayesian Optimization Open