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Found 10 papers, 6 papers with code
A Unified Framework and Dataset for Assessing Gender Bias in Vision-Language Models
Large vision-language models (VLMs) are widely getting adopted in industry and academia.
MAFIA: Multi-Adapter Fused Inclusive LanguAge Models
In this work, we aim to modularly debias a pretrained language model across multiple dimensions.
MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks
We also perform a study on data contamination and find that several models are likely to be contaminated with multilingual evaluation benchmarks, necessitating approaches to detect and handle contamination while assessing the multilingual performance of LLMs.
MEGA: Multilingual Evaluation of Generative AI
Most studies on generative LLMs have been restricted to English and it is unclear how capable these models are at understanding and generating text in other languages.
Multilingual Knowledge Graph Completion with Joint Relation and Entity Alignment
Almost all of existing KGC research is applicable to only one KG at a time, and in one language only.
Ranked #2 on
Knowledge Graph Completion
on DBP-5L (Greek)
Temporal Knowledge Base Completion: New Algorithms and Evaluation Protocols
Temporal knowledge bases associate relational (s, r, o) triples with a set of times (or a single time instant) when the relation is valid.
Ranked #1 on
Link Prediction
on Wikidata12k
Knowledge Base Completion: Baseline strikes back (Again)
Most existing methods train with a small number of negative samples for each positive instance in these datasets to save computational costs.
Type-Sensitive Knowledge Base Inference Without Explicit Type Supervision
State-of-the-art knowledge base completion (KBC) models predict a score for every known or unknown fact via a latent factorization over entity and relation embeddings.
Joint Matrix-Tensor Factorization for Knowledge Base Inference
If not, what characteristics of a dataset determine the performance of MF and TF models?
