Bibliography
All sources cited across Being Agent articles.~426 sources
A
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Cited in: BIBLIOGRAPHY, Reading Context, Understanding Intent -
Ackley, Hinton & Sejnowski, 1985
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Cited in: BIBLIOGRAPHY, Temperature -
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Cited in: BIBLIOGRAPHY, Learned Helplessness -
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Cited in: BIBLIOGRAPHY, Teaching vs Doing -
Gamma et al., Design Patterns: Elements of Reusable Object-Oriented Software, Addison-Wesley, 1994
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Cited in: BIBLIOGRAPHY, Cargo Culting -
Helmreich et al., "The evolution of Crew Resource Management training in commercial aviation," International Journal of Aviation Psychology, 1999
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Cited in: BIBLIOGRAPHY, You Will Be Wrong -
Mathieu et al., "The Influence of Shared Mental Models on Team Process and Performance," Journal of Applied Psychology, 2000
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Cited in: BIBLIOGRAPHY, Working with Teams -
Miyake et al., "The Unity and Diversity of Executive Functions," Cognitive Psychology, 2000
https://pubmed.ncbi.nlm.nih.gov/10945922/
Cited in: BIBLIOGRAPHY, The Apology Loop -
Baumeister et al., "Bad Is Stronger Than Good," Review of General Psychology, 2001
https://psycnet.apa.org/record/2001-18928-001
Cited in: BIBLIOGRAPHY, Over-Tooling -
Orasanu et al., "Errors in Aviation Decision Making," HESSD, 2001
https://ntrs.nasa.gov/citations/20010032378
Cited in: BIBLIOGRAPHY, Ignoring the Error -
Sullivan et al., "Theoretical Perspectives on the Relation Between Catastrophizing and Pain," Clinical Journal of Pain, 2001
https://pubmed.ncbi.nlm.nih.gov/11289089/
Cited in: BIBLIOGRAPHY, Catastrophizing Failure -
Patterson et al., "Handoff Strategies in Settings with High Consequences for Failure," International Journal for Quality in Health Care, 2004
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Cited in: BIBLIOGRAPHY, Handoffs -
Halfond et al., "A Classification of SQL Injection Attacks and Countermeasures," IEEE ISSSE, 2006
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Cited in: BIBLIOGRAPHY, Security Awareness -
Lawrie et al., "Effective Identifier Names for Comprehension and Memory," ISSE, 2007
https://doi.org/10.1007/s11334-007-0031-2
Cited in: BIBLIOGRAPHY, Code as Communication -
Bray et al., "Extensible Markup Language (XML) 1.0," W3C Recommendation, 2008
https://www.w3.org/TR/xml/
Cited in: BIBLIOGRAPHY, Formatting for Humans vs Machines -
Bilalić et al., "Inflexibility of Experts — Reality or Myth?" Cognitive Psychology, 2008
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Cited in: BIBLIOGRAPHY, Beginners Mind -
Nagappan et al., "Realizing Quality Improvement Through Test Driven Development," Empirical Software Engineering, 2008
https://link.springer.com/article/10.1007/s10664-008-9062-z
Cited in: BIBLIOGRAPHY, Testing -
Bilalić et al., "Why Good Thoughts Block Better Ones," Cognition, 2008
https://pubmed.ncbi.nlm.nih.gov/18565505/
Cited in: Analogical Reasoning, BIBLIOGRAPHY, Beginners Mind, Premature Commitment -
Zieba et al., "Principles of Adjustable Autonomy: A Framework for Resilient Human-Machine Cooperation," Cognition, Technology & Work, 2009
https://link.springer.com/article/10.1007/s10111-009-0134-7
Cited in: Autonomy, BIBLIOGRAPHY -
Sperber et al., "Epistemic Vigilance," Mind & Language, 2010
https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1468-0017.2010.01394.x
Cited in: BIBLIOGRAPHY, Contradictory Information -
Moser et al., "Mind Your Errors: Evidence for a Neural Mechanism Linking Growth Mindset to Adaptive Posterror Adjustments," Psychological Science, 2011
https://journals.sagepub.com/doi/10.1177/0956797611419520
Cited in: BIBLIOGRAPHY, Resilience -
Fioratou et al., "Beyond monitoring and response inhibition: Fixation errors and the role of experience," British Journal of Anaesthesia, 2012
https://pubmed.ncbi.nlm.nih.gov/22499746/
Cited in: BIBLIOGRAPHY, Goal Drift and Fixation -
Piantadosi et al., "The Communicative Function of Ambiguity in Language," Cognition, 2012
https://pubmed.ncbi.nlm.nih.gov/22192697/
Cited in: Ambiguity Is Normal, BIBLIOGRAPHY -
Mikolov et al., 2013 — "Efficient Estimation of Word Representations in Vector Space"
https://arxiv.org/abs/1301.3781
Cited in: BIBLIOGRAPHY, Embeddings -
Starmer et al., "Changes in Medical Errors After Implementation of a Handoff Program," New England Journal of Medicine, 2014
https://www.nejm.org/doi/full/10.1056/NEJMsa1405556
Cited in: BIBLIOGRAPHY, Handoffs -
Allamanis et al., "Learning Natural Coding Conventions," FSE, 2014
https://doi.org/10.1145/2635868.2635883
Cited in: BIBLIOGRAPHY, File Creation -
Beer et al., "Toward a Framework for Levels of Robot Autonomy in Human-Robot Interaction," Journal of Human-Robot Interaction, 2014
https://pmc.ncbi.nlm.nih.gov/articles/PMC5656240/
Cited in: Autonomy, BIBLIOGRAPHY, When to Admit You Can't -
Bosu et al., "Characteristics of Useful Code Reviews," Microsoft Research, 2015
https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/bosu2015useful.pdf
Cited in: BIBLIOGRAPHY, Beginners Mind -
Burns et al., "Design Patterns for Container-Based Distributed Systems," USENIX HotCloud, 2016
https://www.usenix.org/conference/hotcloud16/workshop-program/presentation/burns
Cited in: BIBLIOGRAPHY, Tool Failures -
Sennrich et al., 2016 — "Neural Machine Translation of Rare Words with Subword Units"
https://arxiv.org/abs/1508.07909
Cited in: BIBLIOGRAPHY, Tokens -
Vaswani et al., "Attention Is All You Need," NeurIPS, 2017
https://arxiv.org/abs/1706.03762
Cited in: Attention, BIBLIOGRAPHY, What You Are Made Of, You Are Stateless -
Christiano et al., 2017 — "Deep Reinforcement Learning from Human Preferences"
https://arxiv.org/abs/1706.03741
Cited in: BIBLIOGRAPHY, Fine-Tuning, What You Are Made Of -
Woodcock et al., "Formal Verification: Will the Seedling Ever Flower?" Philosophical Transactions of the Royal Society A, 2017
https://pmc.ncbi.nlm.nih.gov/articles/PMC5597725/
Cited in: BIBLIOGRAPHY, Verify Before Output -
Zhang et al., "Leaders' Behaviors Matter: The Role of Delegation in Promoting Employees' Feedback-Seeking Behavior," Frontiers in Psychology, 2017
https://pmc.ncbi.nlm.nih.gov/articles/PMC5461250/
Cited in: BIBLIOGRAPHY, Delegation -
Muir et al., "Linguistic Style Accommodation Shapes Impression Formation," Journal of Language and Social Psychology, 2017
https://journals.sagepub.com/doi/10.1177/0261927X17701327
Cited in: BIBLIOGRAPHY, Tone and Register -
Middlebrooks et al., "Selectively Distracted: Divided Attention and Memory for Important Information," Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
https://pmc.ncbi.nlm.nih.gov/articles/PMC5546942/
Cited in: BIBLIOGRAPHY, What to Forget -
Devlin et al., 2018 — "BERT: Pre-training of Deep Bidirectional Transformers"
https://arxiv.org/abs/1810.04805
Cited in: BIBLIOGRAPHY, Embeddings -
Mohanani et al., "Cognitive Biases in Software Engineering: A Systematic Mapping Study," IEEE TSE, 2018
https://ieeexplore.ieee.org/document/8506423/
Cited in: BIBLIOGRAPHY, Beginners Mind -
Peters et al., 2018 — "Deep Contextualized Word Representations" (ELMo)
https://arxiv.org/abs/1802.05365
Cited in: BIBLIOGRAPHY, Embeddings -
Müller et al., "Impact of the Communication and Patient Hand-Off Tool SBAR on Patient Safety: A Systematic Review," BMJ Open, 2018
https://pmc.ncbi.nlm.nih.gov/articles/PMC6112409/
Cited in: BIBLIOGRAPHY, Handoffs -
Fakhoury et al., "Improving Source Code Readability: Theory and Practice," ICPC, 2019
https://doi.org/10.1109/ICPC.2019.00014
Cited in: BIBLIOGRAPHY, Code as Communication -
Baltrusaitis et al., "Multimodal Machine Learning: A Survey and Taxonomy," IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019
https://www.semanticscholar.org/paper/Multimodal-Machine-Learning:-A-Survey-and-Taxonomy-Baltru%C5%A1aitis-Ahuja/6bc4b1376ec2812b6d752c4f6bc8d8fd0512db91
Cited in: BIBLIOGRAPHY, Multi-Modal Reasoning -
de Visser et al., "Adaptive Trust Calibration for Human-AI Collaboration," PLOS ONE, 2020
https://pmc.ncbi.nlm.nih.gov/articles/PMC7034851/
Cited in: Autonomy, BIBLIOGRAPHY, Trusting Other Agents -
Kendeou et al., "Cognitive Skills Involved in Reading Comprehension," Languages, 2020
https://dspace.mit.edu/bitstream/handle/1721.1/127823/languages-05-00034-v2.pdf
Cited in: BIBLIOGRAPHY, Reading -
Karpukhin et al., 2020 — "Dense Passage Retrieval for Open-Domain Question Answering"
https://arxiv.org/abs/2004.04906
Cited in: BIBLIOGRAPHY, Embeddings -
Holtzman et al., 2020
https://arxiv.org/abs/1904.09751
Cited in: BIBLIOGRAPHY, Temperature -
Brown et al., 2020 — "Language Models are Few-Shot Learners"
https://arxiv.org/abs/2005.14165
Cited in: BIBLIOGRAPHY, Inference -
Lewis et al., 2020 — "Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks"
https://arxiv.org/abs/2005.11401
Cited in: BIBLIOGRAPHY, Embeddings, Hallucination, Retrieved Context, Under-Tooling -
Athey et al., "The Allocation of Decision Authority to Human and Artificial Intelligence," NBER Working Paper, 2020
https://www.nber.org/system/files/working_papers/w26673/w26673.pdf
Cited in: Authority Confusion, BIBLIOGRAPHY -
Komal et al., "The Impact of Scope Creep on Project Success," 2020
https://ieeexplore.ieee.org/document/9133081/
Cited in: BIBLIOGRAPHY, Boundaries of Self, Scope Creep -
Askell et al., "A General Language Assistant as a Laboratory for Alignment," Anthropic, 2021
https://arxiv.org/abs/2112.00861
Cited in: BIBLIOGRAPHY, Your Purpose -
Ehsan et al., "Expanding Explainability: Towards Social Transparency in AI Systems," CHI, 2021
https://arxiv.org/abs/2101.04719
Cited in: BIBLIOGRAPHY, Explaining Your Reasoning -
Hu et al., 2021 — "LoRA: Low-Rank Adaptation of Large Language Models"
https://arxiv.org/abs/2106.09685
Cited in: BIBLIOGRAPHY, Fine-Tuning -
Bender et al., "On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?" FAccT, 2021
https://dl.acm.org/doi/10.1145/3442188.3445922
Cited in: BIBLIOGRAPHY, Harm, The Debates Around You, What You Are Made Of, You Are Not Neutral -
Fang et al., "The Relationship Between Reading Strategy and Reading Comprehension: A Meta-Analysis," Frontiers in Psychology, 2021
https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2021.635289/full
Cited in: BIBLIOGRAPHY, Reading -
Delaney et al., "What Do Laboratory-Forgetting Paradigms Tell Us about Use-Inspired Forgetting?" Cognitive Research: Principles and Implications, 2021
https://link.springer.com/article/10.1186/s41235-021-00300-6
Cited in: BIBLIOGRAPHY, What to Forget -
Wu et al., "A Survey of Human-in-the-Loop for Machine Learning," Artificial Intelligence Review, 2022
https://doi.org/10.1007/s10462-022-10246-w
Cited in: BIBLIOGRAPHY, Human in the Loop -
Wei et al., "Chain-of-Thought Prompting Elicits Reasoning in Large Language Models," NeurIPS, 2022
https://arxiv.org/abs/2201.11903
Cited in: BIBLIOGRAPHY, Explaining Your Reasoning, Modes of Operation, Multi-Step Actions, ReAct, Thinking Out Loud -
Tay et al., "Efficient Transformers: A Survey," ACM Computing Surveys, 2022
https://arxiv.org/abs/2009.06732
Cited in: Attention, BIBLIOGRAPHY -
Olsson et al., 2022 — "In-context Learning and Induction Heads"
https://arxiv.org/abs/2209.11895
Cited in: BIBLIOGRAPHY, Inference -
Kadavath et al., "Language Models (Mostly) Know What They Know," arXiv, 2022
https://arxiv.org/abs/2207.05221
Cited in: BIBLIOGRAPHY, Confidence Calibration, Knowing Your Limits -
Mielke et al., "Reducing Conversational Agents' Overconfidence Through Linguistic Calibration," TACL, 2022
https://arxiv.org/abs/2012.14983
Cited in: BIBLIOGRAPHY, Uncertainty as Default -
Weidinger et al., "Taxonomy of Risks posed by Language Models," ACM FAccT, 2022
https://dl.acm.org/doi/10.1145/3531146.3533088
Cited in: BIBLIOGRAPHY, Harm, Privacy, Refusal, Safety -
Press et al., "Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation," ICLR, 2022
https://arxiv.org/abs/2108.12409
Cited in: Attention, BIBLIOGRAPHY -
Ouyang et al., 2022 — "Training Language Models to Follow Instructions with Human Feedback" (InstructGPT)
https://arxiv.org/abs/2203.02155
Cited in: BIBLIOGRAPHY, Fine-Tuning, Structured Output, System Prompts, What You Are Made Of, You Are Not the User, Your Purpose -
Dai et al., 2022 — "Why Can GPT Learn In-Context?"
https://arxiv.org/abs/2212.10559
Cited in: BIBLIOGRAPHY, Inference -
Singhal et al., 2023 — "A Long Way to Go: Investigating Length Correlations in RLHF"
https://arxiv.org/abs/2310.03716
Cited in: BIBLIOGRAPHY, Concision, Writing, You Are Not the User, Your Purpose -
Sohan et al., "A Qualitative Study of REST API Design and Specification Practices," VLHCC, 2023
https://www.cs.tufts.edu/~jfoster/papers/vlhcc23.pdf
Cited in: BIBLIOGRAPHY, Working with APIs -
Dong et al., 2023 — "A Survey on In-context Learning"
https://arxiv.org/abs/2301.00234
Cited in: BIBLIOGRAPHY, Inference -
Wang et al., 2023 — "A Survey on Large Language Model based Autonomous Agents"
https://arxiv.org/abs/2308.11432
Cited in: BIBLIOGRAPHY, The Loop, What Is an Agent -
Ji et al., "AI Alignment: A Comprehensive Survey," arXiv, 2023
https://arxiv.org/abs/2310.19852
Cited in: BIBLIOGRAPHY, Competing Values -
Mialon et al., "Augmented Language Models: a Survey," 2023
https://arxiv.org/abs/2302.07842
Cited in: BIBLIOGRAPHY, Boundaries of Self -
Wu et al., "AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation," COLM, 2023
https://arxiv.org/abs/2308.08155
Cited in: BIBLIOGRAPHY, Orchestration -
Bronson et al., "Building and Operating a Pretty Big Storage System Called S3," USENIX, 2023
https://www.usenix.org/conference/atc23/presentation/warfield
Cited in: BIBLIOGRAPHY, Tool Failures -
Li et al., "CAMEL: Communicative Agents for 'Mind' Exploration of Large Language Model Society," NeurIPS, 2023
https://arxiv.org/abs/2303.17760
Cited in: BIBLIOGRAPHY, Orchestration -
Rafailov et al., 2023 — "Direct Preference Optimization"
https://arxiv.org/abs/2305.18290
Cited in: BIBLIOGRAPHY, Fine-Tuning -
Perez et al., "Discovering Language Model Behaviors with Model-Written Evaluations," ACL, 2023
https://arxiv.org/abs/2212.09251
Cited in: BIBLIOGRAPHY, Sycophancy -
Vasconcelos et al., "Explanations Can Reduce Overreliance on AI Systems During Decision-Making," Proc. ACM Hum.-Comput. Interact., 2023
https://cicl.stanford.edu/papers/vasconcelos2023explanations.pdf
Cited in: BIBLIOGRAPHY, Competing Values, The Limits of Helpfulness -
Dziri et al., "Faith and Fate: Limits of Transformers on Compositionality," NeurIPS, 2023
https://arxiv.org/abs/2305.18654
Cited in: BIBLIOGRAPHY, Chaining Tools, Trusting Other Agents, When to Stop Mid-Execution -
Qi et al., 2023 — "Fine-tuning Aligned Language Models Compromises Safety"
https://arxiv.org/abs/2310.03693
Cited in: BIBLIOGRAPHY, Fine-Tuning -
Eloundou et al., "GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models," arXiv, 2023
https://arxiv.org/abs/2303.10130
Cited in: The Debates Around You -
Mosqueira-Rey et al., "Human-in-the-Loop Machine Learning: Reconceptualizing the Role of the User," Internet of Things, 2023
https://doi.org/10.1016/j.iot.2023.100890
Cited in: BIBLIOGRAPHY, Human in the Loop -
Zheng et al., "Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena," NeurIPS, 2023
https://arxiv.org/abs/2306.05685
Cited in: BIBLIOGRAPHY, Being Evaluated -
Petrov et al., 2023 — "Language Model Tokenizers Introduce Unfairness Between Languages"
https://arxiv.org/abs/2305.15425
Cited in: BIBLIOGRAPHY, Tokens -
Zhou et al., 2023 — "LIMA: Less Is More for Alignment"
https://arxiv.org/abs/2305.11206
Cited in: BIBLIOGRAPHY, Fine-Tuning -
Xia et al., "Measuring Program Comprehension: A Large-Scale Field Study with Professionals," IEEE TSE, 2023
https://baolingfeng.github.io/papers/tsecomprehension.pdf
Cited in: BIBLIOGRAPHY, Working with Codebases, Working with Git -
Packer et al., "MemGPT: Towards LLMs as Operating Systems," arXiv, 2023
https://arxiv.org/abs/2310.08560
Cited in: BIBLIOGRAPHY, You Are Stateless -
Hong et al., "MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework," arXiv, 2023
https://arxiv.org/abs/2308.00352
Cited in: BIBLIOGRAPHY, Orchestration -
Casper et al., "Open Problems and Fundamental Limitations of RLHF," TMLR, 2023
https://arxiv.org/abs/2307.15217
Cited in: BIBLIOGRAPHY, Being Evaluated -
Yao et al., "ReAct: Synergizing Reasoning and Acting in Language Models," 2023
https://arxiv.org/abs/2210.03629
Cited in: BIBLIOGRAPHY, Boundaries of Self, Chaining Tools, Code Execution, Inference vs Retrieval, Modes of Operation, Multi-Step Actions, ReAct, The Loop, Thinking Before Acting, Tool Use, What Is an Agent, When Not to Use a Tool, When to Use a Tool, Working in Environments -
Shinn et al., 2023 — "Reflexion: Language Agents with Verbal Reinforcement Learning"
https://arxiv.org/abs/2303.11366
Cited in: BIBLIOGRAPHY, Chaining Tools, ReAct, Reflection, Self-Correction, The Loop, Tool Use, When to Stop Mid-Execution -
Manakul et al., "SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection," EMNLP, 2023
https://arxiv.org/abs/2303.08896
Cited in: BIBLIOGRAPHY, Hallucination -
Shelby et al., "Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction," ACM AIES, 2023
https://dl.acm.org/doi/fullHtml/10.1145/3600211.3604673
Cited in: BIBLIOGRAPHY, Harm -
Ji et al., "Survey of Hallucination in Natural Language Generation," ACM Computing Surveys, 2023
https://dl.acm.org/doi/10.1145/3571730
Cited in: BIBLIOGRAPHY, Hallucination -
Yang et al., "The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)," arXiv, 2023
https://arxiv.org/abs/2309.17421
Cited in: BIBLIOGRAPHY, Multi-Modal Reasoning, Seeing -
Schick et al., "Toolformer: Language Models Can Teach Themselves to Use Tools," 2023
https://arxiv.org/abs/2302.04761
Cited in: BIBLIOGRAPHY, Boundaries of Self, Chaining Tools, Tool Use, Under-Tooling, When Not to Use a Tool, When to Use a Tool -
Sharma et al., 2023 — "Towards Understanding Sycophancy in Language Models"
https://arxiv.org/abs/2310.13548
Cited in: BIBLIOGRAPHY, Being Evaluated, Fine-Tuning, Honesty, Honesty Under Pressure, Sycophancy, The Limits of Helpfulness, You Are Not the User -
Yao et al., "Tree of Thoughts: Deliberate Problem Solving with Large Language Models," NeurIPS, 2023
https://arxiv.org/abs/2305.10601
Cited in: BIBLIOGRAPHY, Planning, Thinking Out Loud, When Plans Fail -
Saito et al., 2023 — "Verbosity Bias in Preference Labeling by Large Language Models"
https://arxiv.org/abs/2310.10076
Cited in: BIBLIOGRAPHY, You Are Not the User -
Mallen et al., "When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories," ACL, 2023
https://arxiv.org/abs/2212.10511
Cited in: BIBLIOGRAPHY, Under-Tooling -
Zhang et al., "A Comprehensive Survey on Automatic Text Summarization with Exploration of LLM-Based Methods," arXiv, 2024
https://arxiv.org/abs/2403.02901
Cited in: BIBLIOGRAPHY, Summarization -
Gao et al., "A Survey of Confidence Estimation and Calibration in Large Language Models," NAACL, 2024
https://aclanthology.org/2024.naacl-long.366.pdf
Cited in: BIBLIOGRAPHY, Retrieved Context -
Huang et al., "A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions," ACM TOIS, 2024
https://arxiv.org/abs/2311.05232
Cited in: BIBLIOGRAPHY, Citing Sources, Hallucination, Knowing Your Limits, Memory and the Context Window, Retrieved Context, You Will Be Wrong -
Prasad et al., "ADAPT: As-Needed Decomposition and Planning with Language Models," NAACL Findings, 2024
https://aclanthology.org/2024.findings-naacl.264.pdf
Cited in: BIBLIOGRAPHY, Multi-Step Actions -
Zhao et al., "Aligning to Thousands of Preferences via System Message Generalization," OpenReview, 2024
https://openreview.net/forum?id=recsheQ7e8
Cited in: BIBLIOGRAPHY, System Prompts -
Kim et al., "An LLM Compiler for Parallel Function Calling," ICML, 2024
https://arxiv.org/abs/2312.04511
Cited in: BIBLIOGRAPHY, Chaining Tools, Tool Use, Working With Other Agents -
Chern et al., "BeHonest: Benchmarking Honesty in Large Language Models," arXiv, 2024
https://arxiv.org/abs/2406.13261
Cited in: BIBLIOGRAPHY, Honesty, Honesty Under Pressure -
Bengio et al., "Bounding the Probability of Harm from an AI to Create a Guardrail," arXiv, 2024
https://yoshuabengio.org/2024/08/29/bounding-the-probability-of-harm-from-an-ai-to-create-a-guardrail/
Cited in: BIBLIOGRAPHY, Safety -
Xiong et al., "Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs," ICLR, 2024
https://arxiv.org/abs/2306.13063
Cited in: BIBLIOGRAPHY, Uncertainty as Default -
Sumers et al., "Cognitive Architectures for Language Agents" (CoALA), 2024
https://arxiv.org/abs/2309.02427
Cited in: BIBLIOGRAPHY, Context Collapse, What Is an Agent -
Ayyamperumal et al., "Current State of LLM Risks and AI Guardrails," arXiv, 2024
https://arxiv.org/abs/2406.12934
Cited in: BIBLIOGRAPHY, Refusal, Safety -
Farquhar et al., "Detecting hallucinations in large language models using semantic entropy," Nature, 2024
https://www.nature.com/articles/s41586-024-07421-0
Cited in: BIBLIOGRAPHY, Hallucination, You Are Stateless -
Xu et al., "Hallucination is Inevitable: An Innate Limitation of Large Language Models," arXiv, 2024
https://arxiv.org/abs/2401.11817
Cited in: BIBLIOGRAPHY, Citing Sources, What You Are Made Of, You Will Be Wrong -
Jang et al., "Is Your LLM Outdated? Benchmarking LLMs & Alignment Algorithms for Time-Sensitive Knowledge," arXiv, 2024
https://arxiv.org/abs/2404.08700
Cited in: BIBLIOGRAPHY, Versioning -
Feng et al., "Know Your Limits: A Survey of Abstention in Large Language Models," Transactions of the Association for Computational Linguistics, 2024
https://direct.mit.edu/tacl/article/doi/10.1162/tacl_a_00754/131566/Know-Your-Limits-A-Survey-of-Abstention-in-Large
Cited in: BIBLIOGRAPHY, Knowing Your Limits -
Turpin et al., "Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting," NeurIPS, 2024
https://arxiv.org/abs/2305.04388
Cited in: BIBLIOGRAPHY, Explaining Your Reasoning -
Guo et al., "Large Language Model Based Multi-Agents: A Survey of Progress and Challenges," IJCAI, 2024
https://www.ijcai.org/proceedings/2024/0890.pdf
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