44 citations · 280 across the 48 of their papers we have counts for
12 papers · 1 filter
Reconciliation of Pre-trained Models and Prototypical Neural Networks in Few-shot Named Entity Recognition
Youcheng Huang, Wenqiang Lei, Jie Fu +1
Incorporating large-scale pre-trained models with the prototypical neural networks is a de-facto paradigm in few-shot named entity recognition. Existing methods, unfortunately, are…
HERB: Measuring Hierarchical Regional Bias in Pre-trained Language Models
Yizhi Li, Ge Zhang, Bohao Yang +4
Fairness has become a trending topic in natural language processing (NLP), which addresses biases targeting certain social groups such as genders and religions. However, regional b…
1Cademy @ Causal News Corpus 2022: Leveraging Self-Training in Causality Classification of Socio-Political Event Data
Adam Nik, Ge Zhang, Xingran Chen +2
This paper details our participation in the Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE) workshop @ EMNLP 2022, where we take part…
Synthesis of Proactive Sensor Placement In Probabilistic Attack Graphs
Lening Li, Haoxiang Ma, Shuo Han +1
This paper studies the deployment of joint moving target defense (MTD) and deception against multi-stage cyberattacks. Given the system equipped with MTD that randomizes between di…
Opportunistic Qualitative Planning in Stochastic Systems with Incomplete Preferences over Reachability Objectives
Abhishek N. Kulkarni, Jie Fu
Preferences play a key role in determining what goals/constraints to satisfy when not all constraints can be satisfied simultaneously. In this paper, we study how to synthesize pre…
Probabilistic Planning with Partially Ordered Preferences over Temporal Goals
Hazhar Rahmani, Abhishek N. Kulkarni, Jie Fu
In this paper, we study planning in stochastic systems, modeled as Markov decision processes (MDPs), with preferences over temporally extended goals. Prior work on temporal plannin…
Bidirectional Learning for Offline Infinite-width Model-based Optimization
Can Chen, Yingxue Zhang, Jie Fu +2
In offline model-based optimization, we strive to maximize a black-box objective function by only leveraging a static dataset of designs and their scores. This problem setting aris…
On Almost-Sure Intention Deception Planning that Exploits Imperfect Observers
Jie Fu
Intention deception involves computing a strategy which deceives the opponent into a wrong belief about the agent's intention or objective. This paper studies a class of probabilis…
Reinforcement Learning of CPG-regulated Locomotion Controller for a Soft Snake Robot
Xuan Liu, Cagdas Onal, Jie Fu
Intelligent control of soft robots is challenging due to the nonlinear and difficult-to-model dynamics. One promising model-free approach for soft robot control is reinforcement le…
Synthesizing Attack-Aware Control and Active Sensing Strategies under Reactive Sensor Attacks
Sumukha Udupa, Abhishek N. Kulkarni, Shuo Han +3
We consider the probabilistic planning problem for a defender (P1) who can jointly query the sensors and take control actions to reach a set of goal states while being aware of pos…
Opportunistic Qualitative Planning in Stochastic Systems with Preferences over Temporal Logic Objectives
Abhishek Ninad Kulkarni, Jie Fu
Preferences play a key role in determining what goals/constraints to satisfy when not all constraints can be satisfied simultaneously. In this work, we study preference-based plann…
Biological Sequence Design with GFlowNets
Moksh Jain, Emmanuel Bengio, Alex-Hernandez Garcia +10
Design of de novo biological sequences with desired properties, like protein and DNA sequences, often involves an active loop with several rounds of molecule ideation and expensive…