Search Results for author: Jiangjie Chen

Found 29 papers, 19 papers with code

From Persona to Personalization: A Survey on Role-Playing Language Agents

no code implementations28 Apr 2024 Jiangjie Chen, Xintao Wang, Rui Xu, Siyu Yuan, Yikai Zhang, Wei Shi, Jian Xie, Shuang Li, Ruihan Yang, Tinghui Zhu, Aili Chen, Nianqi Li, Lida Chen, Caiyu Hu, Siye Wu, Scott Ren, Ziquan Fu, Yanghua Xiao

Through this work, we aim to establish a clear taxonomy of RPLA research and applications, and facilitate future research in this critical and ever-evolving field, and pave the way for a future where humans and RPLAs coexist in harmony.

In-Context Learning Instruction Following

SurveyAgent: A Conversational System for Personalized and Efficient Research Survey

no code implementations9 Apr 2024 Xintao Wang, Jiangjie Chen, Nianqi Li, Lida Chen, Xinfeng Yuan, Wei Shi, Xuyang Ge, Rui Xu, Yanghua Xiao

In the rapidly advancing research fields such as AI, managing and staying abreast of the latest scientific literature has become a significant challenge for researchers.

Management Question Answering

How Easily do Irrelevant Inputs Skew the Responses of Large Language Models?

1 code implementation4 Apr 2024 Siye Wu, Jian Xie, Jiangjie Chen, Tinghui Zhu, Kai Zhang, Yanghua Xiao

By leveraging the retrieval of information from external knowledge databases, Large Language Models (LLMs) exhibit enhanced capabilities for accomplishing many knowledge-intensive tasks.


AgentGroupChat: An Interactive Group Chat Simulacra For Better Eliciting Emergent Behavior

1 code implementation20 Mar 2024 Zhouhong Gu, Xiaoxuan Zhu, Haoran Guo, Lin Zhang, Yin Cai, Hao Shen, Jiangjie Chen, Zheyu Ye, Yifei Dai, Yan Gao, Yao Hu, Hongwei Feng, Yanghua Xiao

Language significantly influences the formation and evolution of Human emergent behavior, which is crucial in understanding collective intelligence within human societies.

GumbelSoft: Diversified Language Model Watermarking via the GumbelMax-trick

1 code implementation20 Feb 2024 Jiayi Fu, Xuandong Zhao, Ruihan Yang, Yuansen Zhang, Jiangjie Chen, Yanghua Xiao

Large language models (LLMs) excellently generate human-like text, but also raise concerns about misuse in fake news and academic dishonesty.

Language Modelling

TimeArena: Shaping Efficient Multitasking Language Agents in a Time-Aware Simulation

no code implementations8 Feb 2024 Yikai Zhang, Siyu Yuan, Caiyu Hu, Kyle Richardson, Yanghua Xiao, Jiangjie Chen

Despite remarkable advancements in emulating human-like behavior through Large Language Models (LLMs), current textual simulations do not adequately address the notion of time.

TravelPlanner: A Benchmark for Real-World Planning with Language Agents

1 code implementation2 Feb 2024 Jian Xie, Kai Zhang, Jiangjie Chen, Tinghui Zhu, Renze Lou, Yuandong Tian, Yanghua Xiao, Yu Su

Are these language agents capable of planning in more complex settings that are out of the reach of prior AI agents?

EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction

1 code implementation11 Jan 2024 Siyu Yuan, Kaitao Song, Jiangjie Chen, Xu Tan, Yongliang Shen, Ren Kan, Dongsheng Li, Deqing Yang

EasyTool purifies essential information from extensive tool documentation of different sources, and elaborates a unified interface (i. e., tool instruction) to offer standardized tool descriptions and functionalities for LLM-based agents.

Put Your Money Where Your Mouth Is: Evaluating Strategic Planning and Execution of LLM Agents in an Auction Arena

1 code implementation9 Oct 2023 Jiangjie Chen, Siyu Yuan, Rong Ye, Bodhisattwa Prasad Majumder, Kyle Richardson

Recent advancements in Large Language Models (LLMs) showcase advanced reasoning, yet NLP evaluations often depend on static benchmarks.


Translate Meanings, Not Just Words: IdiomKB's Role in Optimizing Idiomatic Translation with Language Models

1 code implementation26 Aug 2023 Shuang Li, Jiangjie Chen, Siyu Yuan, Xinyi Wu, Hao Yang, Shimin Tao, Yanghua Xiao

To translate well, machine translation (MT) systems and general-purposed language models (LMs) need a deep understanding of both source and target languages and cultures.

Machine Translation Translation

Piecing Together Clues: A Benchmark for Evaluating the Detective Skills of Large Language Models

no code implementations11 Jul 2023 Zhouhong Gu, Lin Zhang, Jiangjie Chen, Haoning Ye, Xiaoxuan Zhu, Zihan Li, Zheyu Ye, Yan Gao, Yao Hu, Yanghua Xiao, Hongwei Feng

We introduces the DetectBench, a reading comprehension dataset designed to assess a model's ability to jointly ability in key information detection and multi-hop reasoning when facing complex and implicit information.

Common Sense Reasoning Decision Making +2

Beneath Surface Similarity: Large Language Models Make Reasonable Scientific Analogies after Structure Abduction

1 code implementation22 May 2023 Siyu Yuan, Jiangjie Chen, Xuyang Ge, Yanghua Xiao, Deqing Yang

The vital role of analogical reasoning in human cognition allows us to grasp novel concepts by linking them with familiar ones through shared relational structures.

Novel Concepts Question Answering

Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts

1 code implementation22 May 2023 Jian Xie, Kai Zhang, Jiangjie Chen, Renze Lou, Yu Su

By providing external information to large language models (LLMs), tool augmentation (including retrieval augmentation) has emerged as a promising solution for addressing the limitations of LLMs' static parametric memory.


Distilling Script Knowledge from Large Language Models for Constrained Language Planning

1 code implementation9 May 2023 Siyu Yuan, Jiangjie Chen, Ziquan Fu, Xuyang Ge, Soham Shah, Charles Robert Jankowski, Yanghua Xiao, Deqing Yang

In everyday life, humans often plan their actions by following step-by-step instructions in the form of goal-oriented scripts.

Knowledge Distillation

Harnessing Knowledge and Reasoning for Human-Like Natural Language Generation: A Brief Review

no code implementations7 Dec 2022 Jiangjie Chen, Yanghua Xiao

The rapid development and application of natural language generation (NLG) techniques has revolutionized the field of automatic text production.

Text Generation

Unsupervised Explanation Generation via Correct Instantiations

no code implementations21 Nov 2022 Sijie Cheng, Zhiyong Wu, Jiangjie Chen, Zhixing Li, Yang Liu, Lingpeng Kong

The major difficulty is finding the conflict point, where the statement contradicts our real world.

Explanation Generation

Neighbors Are Not Strangers: Improving Non-Autoregressive Translation under Low-Frequency Lexical Constraints

1 code implementation NAACL 2022 Chun Zeng, Jiangjie Chen, Tianyi Zhuang, Rui Xu, Hao Yang, Ying Qin, Shimin Tao, Yanghua Xiao

To this end, we propose a plug-in algorithm for this line of work, i. e., Aligned Constrained Training (ACT), which alleviates this problem by familiarizing the model with the source-side context of the constraints.


E-KAR: A Benchmark for Rationalizing Natural Language Analogical Reasoning

no code implementations Findings (ACL) 2022 Jiangjie Chen, Rui Xu, Ziquan Fu, Wei Shi, Zhongqiao Li, Xinbo Zhang, Changzhi Sun, Lei LI, Yanghua Xiao, Hao Zhou

Holding the belief that models capable of reasoning should be right for the right reasons, we propose a first-of-its-kind Explainable Knowledge-intensive Analogical Reasoning benchmark (E-KAR).

Explanation Generation Question Answering

Unsupervised Editing for Counterfactual Stories

1 code implementation10 Dec 2021 Jiangjie Chen, Chun Gan, Sijie Cheng, Hao Zhou, Yanghua Xiao, Lei LI

We also propose a new metric to alleviate the shortcomings of current automatic metrics and better evaluate the trade-off.


Ensuring Readability and Data-fidelity using Head-modifier Templates in Deep Type Description Generation

no code implementations ACL 2019 Jiangjie Chen, Ao Wang, Haiyun Jiang, Suo Feng, Chenguang Li, Yanghua Xiao

A type description is a succinct noun compound which helps human and machines to quickly grasp the informative and distinctive information of an entity.

Knowledge Graphs

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