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Lian Lian

15 accepted papers

2025

APT: Improving Specialist LLM Performance with Weakness Case Acquisition and Iterative Preference Training

ACL 2025finding

Large Language Models (LLMs) often require domain-specific fine-tuning to address targeted tasks, which risks degrading their general capabilities. Maintaining a balance between domain-specific enhancements and general model utility is a key challenge. This paper proposes a novel approach named APT…

2025

Nezha-H: An HAUV for Aerial and Underwater Observation and Sampling

RA-L 2025

Hybrid aerial underwater vehicles (HAUVs) provide unique capabilities for aerial and underwater observation and sampling, with a variety of configurations already developed. However, challenges in maneuverability, payload integration, and practicality persist, while their specific applications remai

Cited by 2SourceScholar
2025

Nezha-Morphing: Design and Experiments of a Seabird-Inspired Hybrid Aerial Underwater Vehicle

IROS 2025

Hybrid aerial underwater vehicles (HAUVs) hold great promise but face challenges like air-water integration and high underwater resistance. This paper presents Nezha-Morphing, a bio-inspired HAUV that emulates seabirds’ adaptive wing extension and retraction mechanisms for efficient movement in both

Cited by 1SourceScholar
2025

SeaPO: Strategic Error Amplification for Robust Preference Optimization of Large Language Models

EMNLP 2025

Existing alignment methods for preference optimization of large language models (LLMs) aim to enhance model performance by utilizing pairs of positive and negative samples. However, due to the limited capacity of models in scoring or generating responses, the quality of positive and negative samples

Cited by 0SourcePDFScholar
2024

CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions

EMNLP 2024main

With instruction tuning, Large Language Models (LLMs) can enhance their ability to adhere to commands. Diverging from most works focusing on data mixing, our study concentrates on enhancing the model’s capabilities from the perspective of data sampling during training. Drawing inspiration from the h…

2024

Curriculum Consistency Learning for Conditional Sentence Generation

EMNLP 2024main

Consistency learning (CL) has proven to be a valuable technique for improving the robustness of models in conditional sentence generation (CSG) tasks by ensuring stable predictions across various input data forms. However, models augmented with CL often face challenges in optimizing consistency feat…

2024

Design and Implementation of a Bone-Shaped Hybrid Aerial Underwater Vehicle

RA-L 2024

The hybrid aerial underwater vehicles (HAUVs) have promising applications due to their capability to operate in both air and water domains. It is a challenge to balance the rapid maneuverability in both media and the stability at the cross-domain phase. In this letter, Nezha-B, a bone-shaped HAUV pr

Cited by 17SourceScholar
2024

Swift: Transition Characterization and Motion Analysis of a Multimodal Underwater Vehicle

RA-L 2024

This letter proposes a novel conceptual multimodal underwater vehicle, named “Swift”, which is capable of dexterous attitude transition for multiple operation modes. Aside from being competent to adjust pitch and roll angles in the range of −90 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/

Cited by 6SourceScholar
2022

DRAGONFLY: a UAV Rapidly Deployed Micro-Profiler Array for Underwater Thermocline Observation

ICRA 2022poster

Underwater thermocline, common in the lakes and ocean, plays a vital role in meteorological forecasting in the ocean and lakes dynamics research. This letter proposes a method for rapid and multipoint observation of thermocline variations with time and space using an airdropped micro-profiler array,…

Cited by 6SourceScholar
2022

Nezha-Mini: Design and Locomotion of a Miniature Low-Cost Hybrid Aerial Underwater Vehicle

RA-L 2022

The distinct design concepts of the vehicles operating in air and water is one of the tremendous challenges that constrain the development of the hybrid aerial underwater vehicle (HAUV). This incompatibility consequently results in the enlarging volume and weight of the existing prototypes, as well

Cited by 51SourceScholar
2019

A Multimodal Aerial Underwater Vehicle with Extended Endurance and Capabilities

ICRA 2019poster

A new solution to improving the poor endurance of the existing hybrid aerial underwater vehicle (HAUV) is proposed in this paper. The proposed multimodal hybrid aerial underwater vehicle (MHAUV) merges the design concept of the fixed-wing unmanned aerial vehicle (UAV), the multirotor, and the underw…

Cited by 64SourceScholar