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Found 10 papers, 6 papers with code
LIME-M: Less Is More for Evaluation of MLLMs
The Semi-Automated Screening Process filters out samples that cannot distinguish the model's capabilities by synthesizing various MLLMs and manually evaluating them.
Overview of the NLPCC 2024 Shared Task on Chinese Metaphor Generation
The goal of this shared task is to generate Chinese metaphors using machine learning techniques and effectively identifying basic components of metaphorical sentences.
MMRA: A Benchmark for Evaluating Multi-Granularity and Multi-Image Relational Association Capabilities in Large Visual Language Models
Moreover, we explored the ability of LVLMs to perceive image sequences within the context of our multi-image association task.
VCD: Knowledge Base Guided Visual Commonsense Discovery in Images
In this work, we draw inspiration from a commonsense knowledge base ConceptNet in natural language processing, and systematically define the types of visual commonsense.
SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval
We further annotate the image-text pairs with two-level subset-subcategory hierarchy annotations to facilitate a more comprehensive evaluation of the baselines.
A New Dialogue Response Generation Agent for Large Language Models by Asking Questions to Detect User's Intentions
Firstly, EDIT generates open questions related to the dialogue context as the potential user's intention; Then, EDIT answers those questions by interacting with LLMs and searching in domain-specific knowledge bases respectively, and use LLMs to choose the proper answers to questions as extra knowledge; Finally, EDIT enhances response generation by explicitly integrating those extra knowledge.
VLUCI: Variational Learning of Unobserved Confounders for Counterfactual Inference
By disentangling observed and unobserved confounders, VLUCI constructs a doubly variational inference model to approximate the distribution of unobserved confounders, which are used for inferring more accurate counterfactual outcomes.
MEMD-ABSA: A Multi-Element Multi-Domain Dataset for Aspect-Based Sentiment Analysis
Aspect-based sentiment analysis is a long-standing research interest in the field of opinion mining, and in recent years, researchers have gradually shifted their focus from simple ABSA subtasks to end-to-end multi-element ABSA tasks.
Commonsense Knowledge Graph Completion Via Contrastive Pretraining and Node Clustering
To address the two problems, we propose a new CSKG completion framework based on Contrastive Pretraining and Node Clustering (CPNC).
Dense-ATOMIC: Towards Densely-connected ATOMIC with High Knowledge Coverage and Massive Multi-hop Paths
Both automatic and human evaluation on an annotated subgraph of ATOMIC demonstrate the advantage of Rel-CSKGC over strong baselines.
