32 citations · 202 across the 82 of their papers we have counts for
7 papers · 1 filter
Reward on Path: Learning Intermediate Supervision Signals for Knowledge Graph Question Answering
Shengxiang Gao, Chao Lei, Jey Han Lau +2
Knowledge Graph Question Answering (KGQA) aims to answer user questions by reasoning over Knowledge Graphs (KGs). Recent methods use supervision derived from answer labels or refin…
Predicting Sentence Acceptability Judgments in Multimodal Contexts
Hyewon Jang, Nikolai Ilinykh, Sharid Loáiciga +2
Previous work has examined the capacity of deep neural networks (DNNs), particularly transformers, to predict human sentence acceptability judgments, both independently of context,…
GPSBench: Do Large Language Models Understand GPS Coordinates?
Thinh Hung Truong, Jey Han Lau, Jianzhong Qi
Large Language Models (LLMs) are increasingly deployed in applications that interact with the physical world, such as navigation, robotics, or mapping, making robust geospatial rea…
Investigating The Functional Roles of Attention Heads in Vision Language Models: Evidence for Reasoning Modules
Yanbei Jiang, Xueqi Ma, Shu Liu +5
Despite excelling on multimodal benchmarks, vision-language models (VLMs) largely remain a black box. In this paper, we propose a novel interpretability framework to systematically…
Understanding the Geospatial Reasoning Capabilities of LLMs: A Trajectory Recovery Perspective
Thinh Hung Truong, Jey Han Lau, Jianzhong Qi
We explore the geospatial reasoning capabilities of Large Language Models (LLMs), specifically, whether LLMs can read road network maps and perform navigation. We frame trajectory…
An Analytical Emotion Framework of Rumour Threads on Social Media
Rui Xing, Boyang Sun, Kun Zhang +3
Rumours in online social media pose significant risks to modern society, motivating the need for better understanding of how they develop. We focus specifically on the interface be…
REL: Working out is all you need
Toby Simonds, Jey Han Lau, Chaithanya Bandi
Recent developments, particularly OpenAI's O1 model, have demonstrated the remarkable potential of Large Language Models (LLMs) for complex reasoning tasks. Through analysis of O1'…