Search Results for author:
Found 6 papers, 4 papers with code
PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning
PLLaVA achieves new state-of-the-art performance on modern benchmark datasets for both video question-answer and captioning tasks.
Ranked #1 on
Zero-Shot Video Question Answer
on TGIF-QA
Video-based Generative Performance Benchmarking (Consistency)
Video-based Generative Performance Benchmarking (Contextual Understanding)
+4
ChatAnything: Facetime Chat with LLM-Enhanced Personas
For MoV, we utilize the text-to-speech (TTS) algorithms with a variety of pre-defined tones and select the most matching one based on the user-provided text description automatically.
Multi-grained Evidence Inference for Multi-choice Reading Comprehension
Multi-choice Machine Reading Comprehension (MRC) is a major and challenging task for machines to answer questions according to provided options.
Lite Unified Modeling for Discriminative Reading Comprehension
As a broad and major category in machine reading comprehension (MRC), the generalized goal of discriminative MRC is answer prediction from the given materials.
DocOIE: A Document-level Context-Aware Dataset for OpenIE
Both DocOIE dataset and DocIE model are released for public.
Ranked #1 on
Open Information Extraction
on DocOIE-transportation
Reference Knowledgeable Network for Machine Reading Comprehension
Thus we propose a novel reference-based knowledge enhancement model called Reference Knowledgeable Network (RekNet), which simulates human reading strategies to refine critical information from the passage and quote explicit knowledge in necessity.
