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Found 7 papers, 2 papers with code
Learning to Embed Multi-Modal Contexts for Situated Conversational Agents
The Situated Interactive Multi-Modal Conversations (SIMMC) 2. 0 aims to create virtual shopping assistants that can accept complex multi-modal inputs, i. e. visual appearances of objects and user utterances.
Ranked #2 on
Response Generation
on SIMMC2.0
EXAONE Deep: Reasoning Enhanced Language Models
We present EXAONE Deep series, which exhibits superior capabilities in various reasoning tasks, including math and coding benchmarks.
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.
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.
Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning
We argue that when we extract knowledge from source tasks via training source prompts, we need to consider this correlation among source tasks for better transfer to target tasks.
Re3val: Reinforced and Reranked Generative Retrieval
Subsequently, we extract and rerank contexts from the KILT database using the rerank page titles.
Augment & Valuate : A Data Enhancement Pipeline for Data-Centric AI
For this reason, data-centric approaches are crucial for the automation of machine learning operation pipeline.
