77 citations · 120 across the 16 of their papers we have counts for
7 papers · 1 filter
CogVLM: Visual Expert for Pretrained Language Models
Weihan Wang, Qingsong Lv, Wenmeng Yu +13
We introduce CogVLM, a powerful open-source visual language foundation model. Different from the popular shallow alignment method which maps image features into the input space of…
Mastering the Task of Open Information Extraction with Large Language Models and Consistent Reasoning Environment
Ji Qi, Kaixuan Ji, Xiaozhi Wang +5
Open Information Extraction (OIE) aims to extract objective structured knowledge from natural texts, which has attracted growing attention to build dedicated models with human expe…
VidCoM: Fast Video Comprehension through Large Language Models with Multimodal Tools
Ji Qi, Kaixuan Ji, Jifan Yu +4
Building models that comprehends videos and responds specific user instructions is a practical and challenging topic, as it requires mastery of both vision understanding and knowle…
KoLA: Carefully Benchmarking World Knowledge of Large Language Models
Jifan Yu, Xiaozhi Wang, Shangqing Tu +32
The unprecedented performance of large language models (LLMs) necessitates improvements in evaluations. Rather than merely exploring the breadth of LLM abilities, we believe meticu…
Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction
Ji Qi, Chuchun Zhang, Xiaozhi Wang +8
The robustness to distribution changes ensures that NLP models can be successfully applied in the realistic world, especially for information extraction tasks. However, most prior…
GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation
Ji Qi, Jifan Yu, Teng Tu +12
Despite the recent emergence of video captioning models, how to generate vivid, fine-grained video descriptions based on the background knowledge (i.e., long and informative commen…
Syntactically Robust Training on Partially-Observed Data for Open Information Extraction
Ji Qi, Yuxiang Chen, Lei Hou +2
Open Information Extraction models have shown promising results with sufficient supervision. However, these models face a fundamental challenge that the syntactic distribution of t…