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Found 11 papers, 1 papers with code
Are LLM-based Evaluators Confusing NLG Quality Criteria?
Some prior work has shown that LLMs perform well in NLG evaluation for different tasks.
S2M: Converting Single-Turn to Multi-Turn Datasets for Conversational Question Answering
To solve this problem, we propose a novel method to convert single-turn datasets to multi-turn datasets.
AdapterDistillation: Non-Destructive Task Composition with Knowledge Distillation
In the second stage, we distill the knowledge from the existing teacher adapters into the student adapter to help its inference.
From Beginner to Expert: Modeling Medical Knowledge into General LLMs
(3) Specifically for multi-choice questions in the medical domain, we propose a novel Verification-of-Choice approach for prompting engineering, which significantly enhances the reasoning ability of LLMs.
NeMF: Inverse Volume Rendering with Neural Microflake Field
Recovering the physical attributes of an object's appearance from its images captured under an unknown illumination is challenging yet essential for photo-realistic rendering.
Relightable Neural Human Assets from Multi-view Gradient Illuminations
UltraStage will be publicly available to the community to stimulate significant future developments in various human modeling and rendering tasks.
NARRATE: A Normal Assisted Free-View Portrait Stylizer
We extend Total Relighting to fix this problem by unifying its multi-view input normal maps with the physical face model.
Artemis: Articulated Neural Pets with Appearance and Motion synthesis
Our ARTEMIS enables interactive motion control, real-time animation, and photo-realistic rendering of furry animals.
Amazon SageMaker Model Parallelism: A General and Flexible Framework for Large Model Training
In contrast to existing solutions, the implementation of the SageMaker library is much more generic and flexible, in that it can automatically partition and run pipeline parallelism over arbitrary model architectures with minimal code change, and also offers a general and extensible framework for tensor parallelism, which supports a wider range of use cases, and is modular enough to be easily applied to new training scripts.
Neural Relighting and Expression Transfer On Video Portraits
We present a neural relighting and expression transfer technique to transfer the facial expressions from a source performer to a portrait video of a target performer while enabling dynamic relighting.
A Dialogue-based Information Extraction System for Medical Insurance Assessment
In the Chinese medical insurance industry, the assessor's role is essential and requires significant efforts to converse with the claimant.
