Search Results for author: Anqi Li

Found 28 papers, 11 papers with code

Facilitating Pornographic Text Detection for Open-Domain Dialogue Systems via Knowledge Distillation of Large Language Models

no code implementations20 Mar 2024 Huachuan Qiu, Shuai Zhang, Hongliang He, Anqi Li, Zhenzhong Lan

Pornographic content occurring in human-machine interaction dialogues can cause severe side effects for users in open-domain dialogue systems.

Chatbot Knowledge Distillation +1

Automatic Evaluation for Mental Health Counseling using LLMs

no code implementations19 Feb 2024 Anqi Li, Yu Lu, Nirui Song, Shuai Zhang, Lizhi Ma, Zhenzhong Lan

High-quality psychological counseling is crucial for mental health worldwide, and timely evaluation is vital for ensuring its effectiveness.

General Method for Solving Four Types of SAT Problems

no code implementations27 Dec 2023 Anqi Li, Congying Han, Tiande Guo, Haoran Li, Bonan Li

We experimentally verify that this paradigm can prune the unnecessary search space to find the optimal Boolean assignments for the problem.

reinforcement-learning Reinforcement Learning (RL)

PsyChat: A Client-Centric Dialogue System for Mental Health Support

1 code implementation7 Dec 2023 Huachuan Qiu, Anqi Li, Lizhi Ma, Zhenzhong Lan

Dialogue systems are increasingly integrated into mental health support to help clients facilitate exploration, gain insight, take action, and ultimately heal themselves.

PsyBench: a balanced and in-depth Psychological Chinese Evaluation Benchmark for Foundation Models

no code implementations16 Nov 2023 Junlei Zhang, Hongliang He, Nirui Song, Shuyuan He, Shuai Zhang, Huachuan Qiu, Anqi Li, Lizhi Ma, Zhenzhong Lan

As Large Language Models (LLMs) are becoming prevalent in various fields, there is an urgent need for improved NLP benchmarks that encompass all the necessary knowledge of individual discipline.

Multiple-choice

Facilitating NSFW Text Detection in Open-Domain Dialogue Systems via Knowledge Distillation

1 code implementation18 Sep 2023 Huachuan Qiu, Shuai Zhang, Hongliang He, Anqi Li, Zhenzhong Lan

NSFW (Not Safe for Work) content, in the context of a dialogue, can have severe side effects on users in open-domain dialogue systems.

Chatbot Knowledge Distillation +1

Learning Source Biases: Multi-sourced Misspecifications and Consequences

no code implementations15 Sep 2023 Lin Hu, Matthew Kovach, Anqi Li

We study how a decision maker (DM) learns about the biases of unfamiliar information sources.

Fact Checking Friction

A Benchmark for Understanding Dialogue Safety in Mental Health Support

1 code implementation31 Jul 2023 Huachuan Qiu, Tong Zhao, Anqi Li, Shuai Zhang, Hongliang He, Zhenzhong Lan

Our study reveals that ChatGPT struggles to detect safety categories with detailed safety definitions in a zero- and few-shot paradigm, whereas the fine-tuned model proves to be more suitable.

SuperCLUE: A Comprehensive Chinese Large Language Model Benchmark

no code implementations27 Jul 2023 Liang Xu, Anqi Li, Lei Zhu, Hang Xue, Changtai Zhu, Kangkang Zhao, Haonan He, Xuanwei Zhang, Qiyue Kang, Zhenzhong Lan

We fill this gap by proposing a comprehensive Chinese benchmark SuperCLUE, named after another popular Chinese LLM benchmark CLUE.

Language Modelling Large Language Model

Latent Jailbreak: A Benchmark for Evaluating Text Safety and Output Robustness of Large Language Models

1 code implementation17 Jul 2023 Huachuan Qiu, Shuai Zhang, Anqi Li, Hongliang He, Zhenzhong Lan

We present a systematic analysis of the safety and robustness of LLMs regarding the position of explicit normal instructions, word replacements (verbs in explicit normal instructions, target groups in malicious instructions, cue words for explicit normal instructions), and instruction replacements (different explicit normal instructions).

You Can Mask More For Extremely Low-Bitrate Image Compression

1 code implementation27 Jun 2023 Anqi Li, Feng Li, Jiaxin Han, Huihui Bai, Runmin Cong, Chunjie Zhang, Meng Wang, Weisi Lin, Yao Zhao

Extensive experiments have demonstrated that our approach outperforms recent state-of-the-art methods in R-D performance, visual quality, and downstream applications, at very low bitrates.

Image Compression

NICE-SLAM with Adaptive Feature Grids

1 code implementation4 Jun 2023 Ganlin Zhang, Deheng Zhang, Feichi Lu, Anqi Li

NICE-SLAM is a dense visual SLAM system that combines the advantages of neural implicit representations and hierarchical grid-based scene representation.

SMILE: Single-turn to Multi-turn Inclusive Language Expansion via ChatGPT for Mental Health Support

1 code implementation30 Apr 2023 Huachuan Qiu, Hongliang He, Shuai Zhang, Anqi Li, Zhenzhong Lan

Furthermore, we implement an expert evaluation and the results demonstrate that the dialogues generated with our proposed method are of higher quality than those generated with other baseline methods.

Chatbot

MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations

1 code implementation30 Mar 2023 Anqi Li, Byron Boots, Ching-An Cheng

We study a new paradigm for sequential decision making, called offline policy learning from observations (PLfO).

Imitation Learning Offline RL +2

Crop mapping in the small sample/no sample case: an approach using a two-level cascade classifier and integrating domain knowledge

no code implementations26 Dec 2022 Yunze Zang, Yifei Liu, Xuehong Chen, Anqi Li, Yichen Zhai, Shijie Li, Luling Liu, Chuanhai Zhu, Ruilin Chen, Shupeng Li, Na Jie

To solve this problem, a crop mapping method in the small sample/no sample case that integrating domain knowledge and using a cascaded classification framework that combine a weak classifier learned from samples with strong features and a strong classifier trained by samples with weak feature was proposed.

Management valid

Rationally Inattentive Statistical Discrimination: Arrow Meets Phelps

no code implementations16 Dec 2022 Federico Echenique, Anqi Li

When information acquisition is costly but flexible, a principal may rationally acquire information that favors "majorities" over "minorities."

Towards Automated Real-time Evaluation in Text-based Counseling

no code implementations7 Mar 2022 Anqi Li, Jingsong Ma, Lizhi Ma, Pengfei Fang, Hongliang He, Zhenzhong Lan

However, these methods often demand large scale and high quality counseling data, which are difficult to collect.

Imitation Learning via Simultaneous Optimization of Policies and Auxiliary Trajectories

no code implementations7 May 2021 Mandy Xie, Anqi Li, Karl Van Wyk, Frank Dellaert, Byron Boots, Nathan Ratliff

Many IL methods, such as Dataset Aggregation (DAgger), combat challenges like distributional shift by interacting with oracular experts.

Imitation Learning

A Rational Inattention Theory of Echo Chamber

no code implementations21 Apr 2021 Lin Hu, Anqi Li, Xu Tan

We develop a rational inattention theory of echo chamber, whereby players gather information about an uncertain state by allocating limited attention capacities across biased primary sources and other players.

RMP2: A Structured Composable Policy Class for Robot Learning

no code implementations10 Mar 2021 Anqi Li, Ching-An Cheng, M. Asif Rana, Man Xie, Karl Van Wyk, Nathan Ratliff, Byron Boots

Using RMPflow as a structured policy class in learning has several benefits, such as sufficient expressiveness, the flexibility to inject different levels of prior knowledge as well as the ability to transfer policies between robots.

Computational Efficiency

Towards Coordinated Robot Motions: End-to-End Learning of Motion Policies on Transform Trees

no code implementations24 Dec 2020 M. Asif Rana, Anqi Li, Dieter Fox, Sonia Chernova, Byron Boots, Nathan Ratliff

The policy structure provides the user an interface to 1) specifying the spaces that are directly relevant to the completion of the tasks, and 2) designing policies for certain tasks that do not need to be learned.

Electoral Accountability and Selection with Personalized Information Aggregation

no code implementations3 Sep 2020 Anqi Li, Lin Hu

We study a model of electoral accountability and selection whereby heterogeneous voters aggregate incumbent politician's performance data into personalized signals through paying limited attention.

Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems

2 code implementations L4DC 2020 Muhammad Asif Rana, Anqi Li, Dieter Fox, Byron Boots, Fabio Ramos, Nathan Ratliff

The complex motions are encoded as rollouts of a stable dynamical system, which, under a change of coordinates defined by a diffeomorphism, is equivalent to a simple, hand-specified dynamical system.

Density Estimation

The Politics of Personalized News Aggregation

no code implementations24 Oct 2019 Lin Hu, Anqi Li, Ilya Segal

We study how personalized news aggregation for rational inattentive voters (NARI) affects policy polarization and public opinion.

Propaganda, Alternative Media, and Accountability in Fragile Democracies

no code implementations26 Sep 2019 Anqi Li, Davin Raiha, Kenneth W. Shotts

In addition to regular high- and low-competence types, the incumbent may be an aspiring autocrat who controls the mainstream media and will subvert democracy if retained in office.

Multi-Objective Policy Generation for Multi-Robot Systems Using Riemannian Motion Policies

1 code implementation14 Feb 2019 Anqi Li, Mustafa Mukadam, Magnus Egerstedt, Byron Boots

We propose a collection of RMPs for simple multi-robot tasks that can be used for building controllers for more complicated tasks.

Robotics

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