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Found 10 papers, 8 papers with code
Learning to Contrast the Counterfactual Samples for Robust Visual Question Answering
In the task of Visual Question Answering (VQA), most state-of-the-art models tend to learn spurious correlations in the training set and achieve poor performance in out-of-distribution test data.
MultiLingPoT: Enhancing Mathematical Reasoning with Multilingual Program Fine-tuning
Since different programming languages excel in different areas, it is natural to use the most suitable language for solving specific problems.
QUILL: Quotation Generation Enhancement of Large Language Models
To improve the LLMs' quotation generation abilities, we construct a bilingual knowledge base that is broad in scope and rich in dimensions, containing up to 32, 022 quotes.
SEGMENT+: Long Text Processing with Short-Context Language Models
There is a growing interest in expanding the input capacity of language models (LMs) across various domains.
Past Meets Present: Creating Historical Analogy with Large Language Models
Historical analogies, which compare known past events with contemporary but unfamiliar events, are important abilities that help people make decisions and understand the world.
Teaching Large Language Models to Express Knowledge Boundary from Their Own Signals
Large language models (LLMs) have achieved great success, but their occasional content fabrication, or hallucination, limits their practical application.
SLMRec: Empowering Small Language Models for Sequential Recommendation
Motivated by this insight, we empower small language models for SR, namely SLMRec, which adopt a simple yet effective knowledge distillation method.
Learning Neural Templates for Recommender Dialogue System
Second, only the items mentioned in the training corpus have a chance to be recommended in the conversation.
LPF: A Language-Prior Feedback Objective Function for De-biased Visual Question Answering
Most existing Visual Question Answering (VQA) systems tend to overly rely on language bias and hence fail to reason from the visual clue.
Maria: A Visual Experience Powered Conversational Agent
The retriever aims to retrieve a correlated image to the dialog from an image index, while the visual concept detector extracts rich visual knowledge from the image.
