Human few-shot learning of compositional instructions

14 January 2019

Papers citing "Human few-shot learning of compositional instructions"

50 / 68 papers shown

Title
Improving In-Context Learning with Reasoning Distillation Nafis Sadeq Xin Xu Zhouhang Xie Julian McAuley Byungkyu Kang Prarit Lamba Xiang Gao RALM ReLM LRM 38 0 0 14 Apr 2025
InductionBench: LLMs Fail in the Simplest Complexity Class Wenyue Hua Tyler Wong Sun Fei Liangming Pan Adam Jardine William Yang Wang LRM 73 2 0 20 Feb 2025
Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following Vivek Myers Bill Chunyuan Zheng Anca Dragan Kuan Fang Sergey Levine 65 0 0 08 Feb 2025
Inductive Biases for Zero-shot Systematic Generalization in Language-informed Reinforcement Learning Negin Hashemi Dijujin Seyed Roozbeh Razavi Rohani Mohammad Samiei M. Baghshah 58 0 0 28 Jan 2025
Few-Shot Task Learning through Inverse Generative Modeling Aviv Netanyahu Yilun Du Antonia Bronars Jyothish Pari J. Tenenbaum Tianmin Shu Pulkit Agrawal 51 1 0 07 Nov 2024
MIRAGE: Evaluating and Explaining Inductive Reasoning Process in Language Models Jiachun Li Pengfei Cao Zhuoran Jin Yubo Chen Kang-Jun Liu Jun Zhao LRM ELM 37 3 0 12 Oct 2024
On The Specialization of Neural Modules Devon Jarvis Richard Klein Benjamin Rosman Andrew M. Saxe 61 12 0 23 Sep 2024
DiNeR: a Large Realistic Dataset for Evaluating Compositional Generalization ChenGang Hu Xiao Liu Yansong Feng CoGe 39 0 0 07 Jun 2024
When does compositional structure yield compositional generalization? A kernel theory Samuel Lippl Kim Stachenfeld NAI CoGe 73 5 0 26 May 2024
From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks Jacob Russin Sam Whitman McGrath Danielle J. Williams Lotem Elber-Dorozko AI4CE 73 3 0 24 May 2024
A General Theory for Compositional Generalization Jingwen Fu Zhizheng Zhang Yan Lu Nanning Zheng AI4CE CoGe 29 2 0 20 May 2024
Sequential Compositional Generalization in Multimodal Models Semih Yagcioglu Osman Batur .Ince Aykut Erdem Erkut Erdem Desmond Elliott Deniz Yuret 41 1 0 18 Apr 2024
An Incomplete Loop: Deductive, Inductive, and Abductive Learning in Large Language Models Emmy Liu Graham Neubig Jacob Andreas ReLM LRM 35 6 0 03 Apr 2024
PuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Abstract Visual Patterns Yew Ken Chia Vernon Toh Yan Han Deepanway Ghosal Lidong Bing Soujanya Poria LRM ReLM 41 13 0 20 Mar 2024
Bayesian Preference Elicitation with Language Models Kunal Handa Yarin Gal Ellie Pavlick Noah D. Goodman Jacob Andreas Alex Tamkin Belinda Z. Li 34 12 0 08 Mar 2024
Content-Centric Prototyping of Generative AI Applications: Emerging Approaches and Challenges in Collaborative Software Teams Hari Subramonyam Divy Thakkar Jurgen Dieber Anoop Sinha 49 3 0 27 Feb 2024
Neural Slot Interpreters: Grounding Object Semantics in Emergent Slot Representations Bhishma Dedhia N. Jha OCL 51 1 0 02 Feb 2024
Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement Linlu Qiu Liwei Jiang Ximing Lu Melanie Sclar Valentina Pyatkin ... Bailin Wang Yoon Kim Yejin Choi Nouha Dziri Xiang Ren LRM ReLM 48 75 0 12 Oct 2023
Bridging the Gulf of Envisioning: Cognitive Design Challenges in LLM Interfaces Hariharan Subramonyam Roy Pea Christopher Pondoc Maneesh Agrawala Colleen M. Seifert 40 47 0 25 Sep 2023
D3: Data Diversity Design for Systematic Generalization in Visual Question Answering Amir Rahimi Vanessa D’Amario Moyuru Yamada Kentaro Takemoto Tomotake Sasaki Xavier Boix 33 1 0 15 Sep 2023
Modularity Trumps Invariance for Compositional Robustness I. Mason Anirban Sarkar Tomotake Sasaki Xavier Boix OOD 21 1 0 15 Jun 2023
MEWL: Few-shot multimodal word learning with referential uncertainty Guangyuan Jiang Manjie Xu Shiji Xin Weihan Liang Yujia Peng Chi Zhang Yixin Zhu OffRL 29 16 0 01 Jun 2023
Compositional diversity in visual concept learning Yanli Zhou Reuben Feinman Brenden Lake CoGe OCL 32 8 0 30 May 2023
Im-Promptu: In-Context Composition from Image Prompts Bhishma Dedhia Michael Chang Jake C. Snell Thomas L. Griffiths N. Jha LRM MLLM 32 1 0 26 May 2023
HICO-DET-SG and V-COCO-SG: New Data Splits for Evaluating the Systematic Generalization Performance of Human-Object Interaction Detection Models Kenta Takemoto Moyuru Yamada Tomotake Sasaki H. Akima 37 0 0 17 May 2023
On the Role of Emergent Communication for Social Learning in Multi-Agent Reinforcement Learning Seth Karten Siva Kailas Huao Li Katia P. Sycara OffRL 39 4 0 28 Feb 2023
A Survey on Compositional Generalization in Applications Baihan Lin Djallel Bouneffouf Irina Rish AI4CE 34 12 0 02 Feb 2023
Mutual Exclusivity Training and Primitive Augmentation to Induce Compositionality Yichen Jiang Xiang Zhou Joey Tianyi Zhou 21 10 0 28 Nov 2022
A Short Survey of Systematic Generalization Yuanpeng Li AI4CE 38 1 0 22 Nov 2022
What Artificial Neural Networks Can Tell Us About Human Language Acquisition Alex Warstadt Samuel R. Bowman 24 111 0 17 Aug 2022
Revisiting the Compositional Generalization Abilities of Neural Sequence Models Arkil Patel S. Bhattamishra Phil Blunsom Navin Goyal BDL CoGe 26 32 0 14 Mar 2022
One-Shot Learning from a Demonstration with Hierarchical Latent Language Nathaniel Weir Xingdi Yuan Marc-Alexandre Côté Matthew J. Hausknecht Romain Laroche Ida Momennejad H. V. Seijen Benjamin Van Durme BDL 19 6 0 09 Mar 2022
Can Humans Do Less-Than-One-Shot Learning? Maya Malaviya Ilia Sucholutsky Kerem Oktar Thomas L. Griffiths 22 7 0 09 Feb 2022
Compositionality as Lexical Symmetry Ekin Akyürek Jacob Andreas CoGe 50 8 0 30 Jan 2022
Recursive Decoding: A Situated Cognition Approach to Compositional Generation in Grounded Language Understanding Matthew Setzler Scott Howland Lauren A. Phillips LRM 22 5 0 27 Jan 2022
Interpretable Learned Emergent Communication for Human-Agent Teams Seth Karten Mycal Tucker Huao Li Siva Kailas Michael Lewis Katia P. Sycara AI4CE 23 10 0 19 Jan 2022
Learning Symbolic Rules for Reasoning in Quasi-Natural Language Kaiyu Yang Jia Deng NAI ReLM LRM 19 13 0 23 Nov 2021
Schrödinger's Tree -- On Syntax and Neural Language Models Artur Kulmizev Joakim Nivre 35 6 0 17 Oct 2021
We went to look for meaning and all we got were these lousy representations: aspects of meaning representation for computational semantics Simon Dobnik R. Cooper Adam Ek Bill Noble Staffan Larsson N. Ilinykh Vladislav Maraev Vidya Somashekarappa 22 0 0 10 Sep 2021
The paradox of the compositionality of natural language: a neural machine translation case study Verna Dankers Elia Bruni Dieuwke Hupkes CoGe 162 75 0 12 Aug 2021
Few-Shot Learning with a Strong Teacher Han-Jia Ye Lu Ming De-Chuan Zhan Wei-Lun Chao 19 49 0 01 Jul 2021
Leveraging Language to Learn Program Abstractions and Search Heuristics Catherine Wong Kevin Ellis J. Tenenbaum Jacob Andreas 24 54 0 18 Jun 2021
Lexicon Learning for Few-Shot Neural Sequence Modeling Ekin Akyürek Jacob Andreas 20 33 0 07 Jun 2021
Modelling the development of counting with memory-augmented neural networks Zachary Dulberg Taylor Webb J. Cohen 28 3 0 21 May 2021
Flexible Compositional Learning of Structured Visual Concepts Yanli Zhou Brenden Lake OCL CoGe 11 7 0 20 May 2021
Fast and flexible: Human program induction in abstract reasoning tasks Aysja Johnson Wai Keen Vong Brenden Lake Todd M. Gureckis LRM 9 32 0 10 Mar 2021
Symbolic Behaviour in Artificial Intelligence Adam Santoro Andrew Kyle Lampinen Kory W. Mathewson Timothy Lillicrap David Raposo 19 34 0 05 Feb 2021
Compositional Generalization and Natural Language Variation: Can a Semantic Parsing Approach Handle Both? Peter Shaw Ming-Wei Chang Panupong Pasupat Kristina Toutanova CoGe 27 182 0 24 Oct 2020
Compositional Generalization via Semantic Tagging Hao Zheng Mirella Lapata 16 34 0 22 Oct 2020
Learning to Recombine and Resample Data for Compositional Generalization Ekin Akyürek Afra Feyza Akyürek Jacob Andreas 24 79 0 08 Oct 2020