33 citations · 52 across the 7 of their papers we have counts for
7 papers
GPT-4V(ision) as a Generalist Evaluator for Vision-Language Tasks
Xinlu Zhang, Yujie Lu, Weizhi Wang +7
Automatically evaluating vision-language tasks is challenging, especially when it comes to reflecting human judgments due to limitations in accounting for fine-grained details. Alt…
Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection
Zekun Li, Baolin Peng, Pengcheng He +1
Large Language Models (LLMs) have demonstrated exceptional proficiency in instruction-following, becoming increasingly crucial across various applications. However, this capability…
Augmenting Language Models with Long-Term Memory
Weizhi Wang, Li Dong, Hao Cheng +4
Existing large language models (LLMs) can only afford fix-sized inputs due to the input length limit, preventing them from utilizing rich long-context information from past inputs.…
STEPS: A Benchmark for Order Reasoning in Sequential Tasks
Weizhi Wang, Hong Wang, Xifeng Yan
Various human activities can be abstracted into a sequence of actions in natural text, i.e. cooking, repairing, manufacturing, etc. Such action sequences heavily depend on the exec…
Graph Reasoning for Question Answering with Triplet Retrieval
Shiyang Li, Yifan Gao, Haoming Jiang +5
Answering complex questions often requires reasoning over knowledge graphs (KGs). State-of-the-art methods often utilize entities in questions to retrieve local subgraphs, which ar…
Language Model Detoxification in Dialogue with Contextualized Stance Control
Jing Qian, Xifeng Yan
To reduce the toxic degeneration in a pretrained Language Model (LM), previous work on Language Model detoxification has focused on reducing the toxicity of the generation itself (…