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Advancements in the capabilities of Large Language Models (LLMs) have created a promising foundation for developing autonomous agents.
Textworld: A learning environment for text-based games
Marc-Alexandre Côté, Ákos Kádár, Xingdi Yuan, Ben Kybartas, Tavian Barnes, Emery Fine, James Moore, Ruo Yu Tao, Matthew Hausknecht, Layla El Asri, Mahmoud Adada, Wendy Tay, and Adam Trischler · 2018
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The Relationship Between Semantic and Episodic Memory: Exploring the Effect of Semantic Neighbourhood Density on Episodic Memory
Daniela Wong Gonzalez · 2018
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Hotpotqa: A dataset for diverse, explainable multi-hop question answering, 2018
Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William W. Cohen, Ruslan Salakhutdinov, and Christopher D. Manning · 2018
Earlier work this paper cites.
Interactive fiction games: A colossal adventure
Matthew Hausknecht, Prithviraj Ammanabrolu, Côté Marc-Alexandre, and Yuan Xingdi · 2019
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Graph constrained reinforcement learning for natural language action spaces, 2020
Prithviraj Ammanabrolu and Matthew Hausknecht · 2020
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How to avoid being eaten by a grue: Structured exploration strategies for textual worlds, 2020
Prithviraj Ammanabrolu, Ethan Tien, Matthew Hausknecht, and Mark O. Riedl · 2020
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Interactive fiction game playing as multi-paragraph reading comprehension with reinforcement learning, 2020
Xiaoxiao Guo, Mo Yu, Yupeng Gao, Chuang Gan, Murray Campbell, and Shiyu Chang · 2020
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The nethack learning environment
Heinrich Küttler, Nantas Nardelli, Alexander Miller, Roberta Raileanu, Marco Selvatici, Edward Grefenstette, and Tim Rocktäschel · 2020
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Text-based rl agents with commonsense knowledge: New challenges, environments and baselines, 2020
Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Pushkar Shukla, Sadhana Kumaravel, Gerald Tesauro, Kartik Talamadupula, Mrinmaya Sachan, and Murray Campbell · 2020
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Stabilizing transformers for reinforcement learning
Emilio Parisotto, Francis Song, Jack Rae, Razvan Pascanu, Caglar Gulcehre, Siddhant Jayakumar, Max Jaderberg, Raphael Lopez Kaufman, Aidan Clark, Seb Noury, et al · 2020
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Keep calm and explore: Language models for action generation in text-based games, 2020
Shunyu Yao, Rohan Rao, Matthew Hausknecht, and Karthik Narasimhan · 2020
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Learning dynamic belief graphs to generalize on text-based games, 2021
Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikuláš Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, and William L. Hamilton · 2021
Earlier work this paper cites.
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, and Matthew Hausknecht · 2021
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Recurrent memory transformer, 2022
Aydar Bulatov, Yuri Kuratov, and Mikhail S. Burtsev · 2022
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Unsupervised dense information retrieval with contrastive learning, 2022
Gautier Izacard, Mathilde Caron, Lucas Hosseini, Sebastian Riedel, Piotr Bojanowski, Armand Joulin, and Edouard Grave · 2022
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Memory gym: Partially observable challenges to memory-based agents
Marco Pleines, Matthias Pallasch, Frank Zimmer, and Mike Preuss · 2022
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Explain my surprise: Learning efficient long-term memory by predicting uncertain outcomes
Artyom Sorokin, Nazar Buzun, Leonid Pugachev, and Mikhail Burtsev · 2022
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MuSiQue: Multihop questions via single-hop question composition
Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, and Ashish Sabharwal · 2022
Cited alongside, same era.
Learning to follow instructions in text-based games, 2022
Mathieu Tuli, Andrew C. Li, Pashootan Vaezipoor, Toryn Q. Klassen, Scott Sanner, and Sheila A. McIlraith · 2022
Cited alongside, same era.
Scienceworld: Is your agent smarter than a 5th grader?, 2022
Ruoyao Wang, Peter Jansen, Marc-Alexandre Côté, and Prithviraj Ammanabrolu · 2022
Cited alongside, same era.
Knowledge-augmented language model prompting for zero-shot knowledge graph question answering, 2023
Jinheon Baek, Alham Fikri Aji, and Amir Saffari · 2023
Cited alongside, same era.
Mamba: Linear-time sequence modeling with selective state spaces, 2023
Albert Gu and Tri Dao · 2023
Cited alongside, same era.
Clin: A continually learning language agent for rapid task adaptation and generalization, 2023
Explorer: Exploration-guided reasoning for textual reinforcement learning, 2024
Kinjal Basu, Keerthiram Murugesan, Subhajit Chaudhury, Murray Campbell, Kartik Talamadupula, and Tim Klinger · 2024
Closest in time.
Scaling transformer to 1m tokens and beyond with rmt, 2024
Aydar Bulatov, Yuri Kuratov, Yermek Kapushev, and Mikhail S. Burtsev · 2024
Closest in time.
Bge m3-embedding: Multi-lingual, multi-functionality, multi-granularity text embeddings through self-knowledge distillation, 2024
Jianlv Chen, Shitao Xiao, Peitian Zhang, Kun Luo, Defu Lian, and Zheng Liu · 2024
Closest in time.
Exploring large language model based intelligent agents: Definitions, methods, and prospects, 2024
Yuheng Cheng, Ceyao Zhang, Zhengwen Zhang, Xiangrui Meng, Sirui Hong, Wenhao Li, Zihao Wang, Zekai Wang, Feng Yin, Junhua Zhao, and Xiuqiang He · 2024
Closest in time.
MANGO: A benchmark for evaluating mapping and navigation abilities of large language models, 2024
Peng Ding, Jiading Fang, Peng Li, Kangrui Wang, Xiaochen Zhou, Mo Yu, Jing Li, Matthew Walter, and Hongyuan Mei · 2024
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Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Peter Jansen, Oyvind Tafjord, Niket Tandon, Li Zhang, Chris Callison-Burch, and Peter Clark · 2023
Cited alongside, same era.
Evaluating cognitive maps and planning in large language models with cogeval
Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Nebojsa Jojic, Hamid Palangi, Robert Ness, and Jonathan Larson · 2023
Cited alongside, same era.
Generative agents: Interactive simulacra of human behavior, 2023
Joon Sung Park, Joseph C. O’Brien, Carrie J. Cai, Meredith Ringel Morris, Percy Liang, and Michael S. Bernstein · 2023
Cited alongside, same era.
Reflexion: Language agents with verbal reinforcement learning, 2023
Noah Shinn, Federico Cassano, Edward Berman, Ashwin Gopinath, Karthik Narasimhan, and Shunyu Yao · 2023
Cited alongside, same era.
Text-based games as a challenging benchmark for large language models, 2023
Qinyue Tan, Ashkan Kazemi, and Rada Mihalcea · 2023
Cited alongside, same era.
Can large language models play text games well? current state-of-the-art and open questions, 2023
Chen Feng Tsai, Xiaochen Zhou, Sierra S. Liu, Jing Li, Mo Yu, and Hongyuan Mei · 2023
Cited alongside, same era.
Voyager: An open-ended embodied agent with large language models, 2023
Guanzhi Wang, Yuqi Xie, Yunfan Jiang, Ajay Mandlekar, Chaowei Xiao, Yuke Zhu, Linxi Fan, and Anima Anandkumar · 2023
Cited alongside, same era.
Closest in time.
Longrope: Extending llm context window beyond 2 million tokens, 2024
Yiran Ding, Li Lyna Zhang, Chengruidong Zhang, Yuanyuan Xu, Ning Shang, Jiahang Xu, Fan Yang, and Mao Yang · 2024
Closest in time.
From local to global: A graph rag approach to query-focused summarization, 2024
Darren Edge, Ha Trinh, Newman Cheng, Joshua Bradley, Alex Chao, Apurva Mody, Steven Truitt, and Jonathan Larson · 2024
Closest in time.
Hipporag: Neurobiologically inspired long-term memory for large language models, 2024
Bernal Jiménez Gutiérrez, Yiheng Shu, Yu Gu, Michihiro Yasunaga, and Yu Su · 2024
Closest in time.
Playing nethack with llms: Potential and limitations as zero-shot agents, 2024
Dominik Jeurissen, Diego Perez-Liebana, Jeremy Gow, Duygu Cakmak, and James Kwan · 2024
Closest in time.
A human-inspired reading agent with gist memory of very long contexts, 2024
Kuang-Huei Lee, Xinyun Chen, Hiroki Furuta, John Canny, and Ian Fischer · 2024
Closest in time.
Graphreader: Building graph-based agent to enhance long-context abilities of large language models, 2024
Shilong Li, Yancheng He, Hangyu Guo, Xingyuan Bu, Ge Bai, Jie Liu, Jiaheng Liu, Xingwei Qu, Yangguang Li, Wanli Ouyang, Wenbo Su, and Bo Zheng · 2024
Closest in time.
An enhanced prompt-based llm reasoning scheme via knowledge graph-integrated collaboration, 2024
Yihao Li, Ru Zhang, Jianyi Liu, and Gongshen Liu · 2024
Closest in time.
Unifying large language models and knowledge graphs: A roadmap
Shirui Pan, Linhao Luo, Yufei Wang, Chen Chen, Jiapu Wang, and Xindong Wu · 2024
Closest in time.
Holmes: Hyper-relational knowledge graphs for multi-hop question answering using llms, 2024
Pranoy Panda, Ankush Agarwal, Chaitanya Devaguptapu, Manohar Kaul, and Prathosh A P · 2024
Closest in time.
Cognitive architectures for language agents, 2024
Theodore R. Sumers, Shunyu Yao, Karthik Narasimhan, and Thomas L. Griffiths · 2024
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A survey on large language model based autonomous agents
Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, Zhiyuan Chen, Jiakai Tang, Xu Chen, Yankai Lin, Wayne Xin Zhao, Zhewei Wei, and Jirong Wen · 2024
Closest in time.