2 citations · 2 across the 4 of their papers we have counts for
4 papers
RECAP: Relation Evidence Calibration for Detecting Spatial Relation Hallucinations in Vision-Language Models
Feixiang Liu, Qiang Qiu, Qingyang Li +1
Vision-language models can answer spatial relation questions confidently even when the image supports an incompatible relation. We formulate relation-grounded selective prediction:…
SEER: A Self-Grounded Evidence Interface for Controlled Spatial Relation Classification
Feixiang Liu, Likun Wang, Qiang Qiu +3
Spatial relation questions require a model to identify the queried subject and object before comparing their layout. Yet a VLM can recognize both entities and still answer from the…
From Classification to Ranking: Enhancing LLM Reasoning Capabilities for MBTI Personality Detection
Yuan Cao, Feixiang Liu, Xinyue Wang +4
Personality detection aims to measure an individual's corresponding personality traits through their social media posts. The advancements in Large Language Models (LLMs) offer nove…
TeleChat Technical Report
Zhongjiang He, Zihan Wang, Xinzhang Liu +33
In this technical report, we present TeleChat, a collection of large language models (LLMs) with parameters of 3 billion, 7 billion and 12 billion. It includes pretrained language…