Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation [PDF]
Computer Vision and Pattern Recognition, 2022 A diffusion model learns to predict a vector field of gradients. We propose to apply chain rule on the learned gradients, and back-propagate the score of a diffusion model through the Jacobian of a differentiable renderer, which we instantiate to be a ...
Haochen Wang +4 more
semanticscholar +1 more source
PromptChainer: Chaining Large Language Model Prompts through Visual Programming [PDF]
CHI Extended Abstracts, 2022 While LLMs have made it possible to rapidly prototype new ML functionalities, many real-world applications involve complex tasks that cannot be easily handled via a single run of an LLM.
Tongshuang Sherry Wu +6 more
semanticscholar +1 more source
AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts [PDF]
International Conference on Human Factors in Computing Systems, 2021 Although large language models (LLMs) have demonstrated impressive potential on simple tasks, their breadth of scope, lack of transparency, and insufficient controllability can make them less effective when assisting humans on more complex tasks.
Tongshuang Sherry Wu +2 more
semanticscholar +1 more source
Sequential Dexterity: Chaining Dexterous Policies for Long-Horizon Manipulation [PDF]
Conference on Robot Learning, 2023 Many real-world manipulation tasks consist of a series of subtasks that are significantly different from one another. Such long-horizon, complex tasks highlight the potential of dexterous hands, which possess adaptability and versatility, capable of ...
Yuanpei Chen +3 more
semanticscholar +1 more source
LAMBADA: Backward Chaining for Automated Reasoning in Natural Language [PDF]
Annual Meeting of the Association for Computational Linguistics, 2022 Remarkable progress has been made on automated reasoning with natural text, by using Large Language Models (LLMs) and methods such as Chain-of-Thought prompting and Selection-Inference.
Seyed Mehran Kazemi +4 more
semanticscholar +1 more source
Toward Optimal Partial Parallelization for Service Function Chaining
IEEE/ACM Transactions on Networking, 2021 The emergence of Network Function Virtualization (NFV) and Service Function Chaining (SFC) together enable flexible and agile network management and traffic engineering.
I-Chieh Lin, Yu-Hsuan Yeh, K. Lin
semanticscholar +1 more source
Towards Optimal Parallelism-Aware Service Chaining and Embedding
IEEE Transactions on Network and Service Management, 2021 Emerging 5G technologies can significantly reduce end-to-end service latency for applications requiring strict quality of service (QoS). With network function virtualization (NFV), to complete a client’s request from those applications, the client’s data
Danyang Zheng +3 more
semanticscholar +1 more source
Co-linear Chaining with Overlaps and Gap Costs
bioRxiv, 2021 Co-linear chaining has proven to be a powerful heuristic for finding near-optimal alignments of long DNA sequences (e.g., long reads or a genome assembly) to a reference.
Chirag Jain +2 more
semanticscholar +1 more source
Average Service Time Analysis of a Clustered VNF Chaining Scheme in NFV-Based V2X Networks
IEEE Access, 2018 The recent advancement in intelligent transportation system makes it crucial to equip vehicles with intelligent onboard system (IOS). With the help of IOSs, vehicles can obtain varieties of convenient services from both remote service centers and other ...
Yan Han +3 more
doaj +1 more source
Joint Energy Efficient and QoS-Aware Path Allocation and VNF Placement for Service Function Chaining [PDF]
IEEE Transactions on Network and Service Management, 2017 Service function chaining (SFC) allows the forwarding of traffic flows along a chain of virtual network functions (VNFs). Software defined networking (SDN) solutions can be used to support SFC to reduce both the management complexity and the operational ...
M. M. Tajiki +4 more
semanticscholar +1 more source