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Found 12 papers, 4 papers with code
Example-Based Concept Analysis Framework for Deep Weather Forecast Models
To fill this gap, we follow a user-centric process to develop an example-based concept analysis framework, which identifies cases that follow a similar inference process as the target instance in a target model and presents them in a user-comprehensible format.
Explainable AI-Based Interface System for Weather Forecasting Model
Machine learning (ML) is becoming increasingly popular in meteorological decision-making.
EXAONE Deep: Reasoning Enhanced Language Models
We present EXAONE Deep series, which exhibits superior capabilities in various reasoning tasks, including math and coding benchmarks.
Diverse Rare Sample Generation with Pretrained GANs
This study proposes a novel approach for generating diverse rare samples from high-resolution image datasets with pretrained GANs.
EXAONE 3.5: Series of Large Language Models for Real-world Use Cases
This technical report introduces the EXAONE 3. 5 instruction-tuned language models, developed and released by LG AI Research.
PFGuard: A Generative Framework with Privacy and Fairness Safeguards
Generative models must ensure both privacy and fairness for Trustworthy AI.
EXAONE 3.0 7.8B Instruction Tuned Language Model
We introduce EXAONE 3. 0 instruction-tuned language model, the first open model in the family of Large Language Models (LLMs) developed by LG AI Research.
Capsule Neural Networks as Noise Stabilizer for Time Series Data
In this paper, we investigate the effectiveness of CapsNets in analyzing highly sensitive and noisy time series sensor data.
ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models
Unlike knowledge graphs, which are also used to evaluate LLMs, relational databases have integrity constraints that can be used to better construct complex in-depth questions and verify answers: (1) functional dependencies can be used to pinpoint critical keywords that an LLM must know to properly answer a given question containing certain attribute values; and (2) foreign key constraints can be used to join relations and construct multi-hop questions, which can be arbitrarily long and used to debug intermediate answers.
DaG LLM ver 1.0: Pioneering Instruction-Tuned Language Modeling for Korean NLP
This paper presents the DaG LLM (David and Goliath Large Language Model), a language model specialized for Korean and fine-tuned through Instruction Tuning across 41 tasks within 13 distinct categories.
Vision Transformer Equipped with Neural Resizer on Facial Expression Recognition Task
When it comes to wild conditions, Facial Expression Recognition is often challenged with low-quality data and imbalanced, ambiguous labels.
Facial Expression Recognition
Facial Expression Recognition (FER)
+1
Conditional Temporal Neural Processes with Covariance Loss
We introduce a novel loss function, Covariance Loss, which is conceptually equivalent to conditional neural processes and has a form of regularization so that is applicable to many kinds of neural networks.
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Time Series Forecasting
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