Page 370 - 《软件学报》2025年第10期
P. 370
刘一丁 等: 针对 LLM 对话属性情感理解的多代理一致性反思 4767
[24] Zhang JJ, Hou YP, Xie RB, Sun WQ, Mcauley J, Zhao WX, Lin LY, Wen JR. AgentCF: Collaborative learning with autonomous
language agents for recommender systems. arXiv:2310.09233, 2023.
[25] Xu ZR, Shi SB, Hu BT, Yu JD, Li DF, Zhang M, Wu YX. Towards reasoning in large language models via multi-agent peer review
collaboration. arXiv:2311.08152, 2023.
[26] Liu ZY, Lai ZQ, Gao ZW, Cui EF, Li ZH, Zhu XZ, Lu LW, Chen QF, Qiao Y, Dai JF, Wang WH. ControlLLM: Augment language
models with tools by searching on graphs. arXiv:2310.17796, 2023.
[27] Liu JC, Shen DH, Zhang YZ, Dolan B, Carin L, Chen WZ. What makes good in-context examples for GPT-3? In: Proc. of the Deep
Learning Inside Out: The 3rd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures. Dublin: ACL, 2022.
100–114. [doi: 10.18653/v1/2022.deelio-1.10]
[28] Yao SY, Zhao J, Yu D, Du N, Shafran I, Narasimhan K, Cao Y. ReAct: Synergizing reasoning and acting in language models.
arXiv:2210.03629, 2023.
[29] Wei J, Wang XZ, Schuurmans D, Bosma M, Ichter B, Xia F, Chi EH, Le QV, Zhou D. Chain-of-thought prompting elicits reasoning in
large language models. In: Proc. of the 36th Int’l Conf. on Neural Information Processing Systems. New Orleans: Curran Associates Inc.,
2022. 24824–24837.
[30] Yao SY, Yu D, Zhao J, Shafran I, Griffiths TL, Cao Y, Narasimhan K. Tree of thoughts: Deliberate problem solving with large language
models. In: Proc. of the 37th Int’l Conf. on Neural Information Processing Systems. New Orleans: Curran Associates Inc., 2023.
11809–11822.
[31] Shinn N, Labash B, Gopinath A. Reflexion: An autonomous agent with dynamic memory and self-reflection. arXiv:2303.11366, 2023.
[32] Shinn N, Cassano F, Gopinath A, Narasimhan K, Yao SY. Reflexion: Language agents with verbal reinforcement learning. In: Proc. of
the 37th Int’l Conf. on Neural Information Processing Systems. New Orleans: Curran Associates Inc., 2023. 8634–8652.
[33] Huang X, Lian JX, Lei YX, Yao J, Lian DF, Xie X. Recommender AI agent: Integrating large language models for interactive
recommendations. arXiv:2308.16505, 2024.
[34] Zhang WX, Deng Y, Liu B, Pan SJ, Bing LD. Sentiment analysis in the era of large language models: A reality check. arXiv:2305.15005,
2023.
[35] Wei J, Bosma M, Zhao VY, Guu K, Yu AW, Lester B, Du N, Dai AM, Le QV. Finetuned language models are zero-shot learners.
arXiv:2109.01652, 2022. [DOI: 10.48550/arXiv.2109.01652]
[36] Cai HJ, Xia R, Yu JF. Aspect-category-opinion-sentiment quadruple extraction with implicit aspects and opinions. In: Proc. of the 59th
Annual Meeting of the Association for Computational Linguistics and the 11th Int’l Joint Conf. on Natural Language Processing, Vol. 1
(Long Papers). ACL, 2021. 340–350. [doi: 10.18653/v1/2021.acl-long.29]
[37] Hu EJ, Shen YL, Wallis P, Allen-Zhu A, Li YZ, Wang SA, Wang L, Chen WZ. LoRA: Low-rank adaptation of large language models.
arXiv:2106.09685, 2021.
[38] Kingma DP, Ba J. Adam: A method for stochastic optimization. arXiv:1412.6980, 2017.
[39] Yang YM, Liu X. A re-examination of text categorization methods. In: Proc. of the 22nd Annual Int’l ACM SIGIR Conf. on Research
and Development in Information Retrieval. Berkeley: ACM, 1999. 42–49.
[40] Zhang WX, Li X, Deng Y, Bing LD, Lam W. Towards generative aspect-based sentiment analysis. In: Proc. of the 59th Annual Meeting
of the Association for Computational Linguistics and the 11th Int’l Joint Conf. on Natural Language Processing, Vol. 2 (Short Papers).
ACL, 2021. 504–510. [doi: 10.18653/v1/2021.acl-short.64]
[41] Wei X, Cui XY, Cheng N, Wang XB, Zhang X, Huang S, Xie PJ, Xu J, Chen YF, Zhang MS, Jiang Y, Han WJ. ChatIE: Zero-shot
information extraction via chatting with ChatGPT. arXiv:2302.10205, 2024.
[42] Yang AY, Xiao B, Wang BN, et al. Baichuan 2: Open large-scale language models. arXiv:2309.10305, 2023.
刘一丁(1999-), 男, 硕士生, 主要研究领域为自 罗佳敏(1997-), 女, 博士生, CCF 学生会员, 主
然语言处理. 要研究领域为自然语言处理.
王晶晶(1990-), 男, 博士, 副教授, CCF 专业会 周国栋(1965-), 男, 博士, 教授, 博士生导师,
员, 主要研究领域为自然语言处理. CCF 杰出会员, 主要研究领域为自然语言处理.

