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Jacob Andreas

104 papers · 2012–2025 · 15 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (19) 🌈 Renaissance Researcher (10) 🧭 Keyword Pioneer 🌍 Conference Polyglot (15) πŸƒ Academic Marathon (13) 🐝 Cross-Pollinator (13) πŸŒ‰ Interdisciplinary Bridge 🏠 Conference Loyalist (20) 🌟 Keyword Trendsetter Combo (5) 🐺 Lone Wolf (3) 🀝 Dynamic Duo (20) πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ† Keyword Champion πŸ”¬ Deep Specialist (15) πŸ’Ž Century Club (104) πŸš€ Conference Pioneer ⚑ Prolific Year (5) ❓ The Questioner (10) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (305) πŸ”₯ Unstoppable (14)

Conferences

ACL (20) ICLR (16) NAACL (15) EMNLP (14) ICML (12) NIPS (10) IJCNLP (4) CONLL (3) CVPR (2) ICCV (2) IJCAI (2) COLING (1) CORL (1) ECCV (1) RSS (1)

Top co-authors

Dan Klein (20) Ekin AkyΓΌrek (12) Belinda Z. Li (8) Trevor Darrell (8) Antonio Torralba (7) Evan Hernandez (6) Yoon Kim (6) Pratyusha Sharma (6) Benjamin Van Durme (5) Harsh Jhamtani (5)

Research topics

Linguistics (1) Education (1)

Keywords

language model (17) neural network (7) large language model (7) in-context learning (5) semantic parsing (5) dialogue system (5) reinforcement learning (4) neural language model (4) representation learning (4) few-shot learning (4) multi-agent system (4) entity representation (3) visual grounding (3) multimodal learning (3) deep reinforcement learning (3) pretrained language model (3) systematic generalization (3) transformer language model (3) instruction following (3) natural language understanding (3)

Papers

LLM Agents for Coordinating Multi-User Information Gathering ACL 2025
Eliciting Human Preferences with Language Models ICLR 2025
A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation NAACL 2025
Language Modeling with Editable External Knowledge NAACL 2025
(How) Do Language Models Track State? ICML 2025
Learning How Hard to Think: Input-Adaptive Allocation of LM Computation ICLR 2025
A Hitchhiker’s Guide to Scaling Law Estimation ICML 2025
The Surprising Effectiveness of Test-Time Training for Few-Shot Learning ICML 2025
Modeling Boundedly Rational Agents with Latent Inference Budgets ICLR 2024
Learning Grounded Action Abstractions from Language ICLR 2024
Linearity of Relation Decoding in Transformer Language Models ICLR 2024
Learning with Language-Guided State Abstractions ICLR 2024
LILO: Learning Interpretable Libraries by Compressing and Documenting Code ICLR 2024
A Multimodal Automated Interpretability Agent ICML 2024
Natural Language Decomposition and Interpretation of Complex Utterances IJCAI 2024
Language-to-Code Translation with a Single Labeled Example EMNLP 2024
Adaptive Language-Guided Abstraction from Contrastive Explanations CORL 2024
Algorithmic Capabilities of Random Transformers NIPS 2024
MisinfoEval: Generative AI in the Era of β€œAlternative Facts” EMNLP 2024
Toward In-Context Teaching: Adapting Examples to Students’ Misconceptions ACL 2024
Deductive Closure Training of Language Models for Coherence, Accuracy, and Updatability ACL 2024
Lexicon-Level Contrastive Visual-Grounding Improves Language Modeling ACL 2024
Regularized Conventions: Equilibrium Computation as a Model of Pragmatic Reasoning NAACL 2024
Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks NAACL 2024
Interpreting User Requests in the Context of Natural Language Standing Instructions NAACL 2024
The Consensus Game: Language Model Generation via Equilibrium Search ICLR 2024
Visual Grounding Helps Learn Word Meanings in Low-Data Regimes NAACL 2024
Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling ICML 2024
In-Context Language Learning: Architectures and Algorithms ICML 2024
Pushdown Layers: Encoding Recursive Structure in Transformer Language Models EMNLP 2023
Characterizing intrinsic compositionality in transformers with Tree Projections ICLR 2023
​​What learning algorithm is in-context learning? Investigations with linear models ICLR 2023
LexSym: Compositionality as Lexical Symmetry ACL 2023
Grokking of Hierarchical Structure in Vanilla Transformers ACL 2023
The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding ACL 2023
Language Modeling with Latent Situations ACL 2023
The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks NIPS 2023
Alignment via Mutual Information CONLL 2023
FIND: A Function Description Benchmark for Evaluating Interpretability Methods NIPS 2023
PromptBoosting: Black-Box Text Classification with Ten Forward Passes ICML 2023
Guiding Pretraining in Reinforcement Learning with Large Language Models ICML 2023
Cognitive Dissonance: Why Do Language Model Outputs Disagree with Internal Representations of Truthfulness? EMNLP 2023
Alignment via Mutual Information EMNLP 2023
Skill Induction and Planning with Latent Language ACL 2022
Hierarchical Phrase-Based Sequence-to-Sequence Learning EMNLP 2022
Towards Tracing Knowledge in Language Models Back to the Training Data EMNLP 2022
Language Models as Agent Models EMNLP 2022
Modeling Strong and Human-Like Gameplay with KL-Regularized Search ICML 2022
Subspace Regularizers for Few-Shot Class Incremental Learning ICLR 2022
Quantifying Adaptability in Pre-trained Language Models with 500 Tasks NAACL 2022
Correcting Robot Plans with Natural Language Feedback RSS 2022
Pre-Trained Language Models for Interactive Decision-Making NIPS 2022
Natural Language Descriptions of Deep Visual Features ICLR 2022
Guided K-best Selection for Semantic Parsing Annotation ACL 2022
Compositional Generalization for Neural Semantic Parsing via Span-level Supervised Attention NAACL 2021
Value-Agnostic Conversational Semantic Parsing IJCNLP 2021
Lexicon Learning for Few Shot Sequence Modeling IJCNLP 2021
What Context Features Can Transformer Language Models Use? ACL 2021
Implicit Representations of Meaning in Neural Language Models ACL 2021
Value-Agnostic Conversational Semantic Parsing ACL 2021
Lexicon Learning for Few Shot Sequence Modeling ACL 2021
The Low-Dimensional Linear Geometry of Contextualized Word Representations CONLL 2021
Multitasking Inhibits Semantic Drift NAACL 2021
How Do Neural Sequence Models Generalize? Local and Global Cues for Out-of-Distribution Prediction EMNLP 2021
The Low-Dimensional Linear Geometry of Contextualized Word Representations EMNLP 2021
Implicit Representations of Meaning in Neural Language Models IJCNLP 2021
Toward a Visual Concept Vocabulary for GAN Latent Space ICCV 2021
Representing Partial Programs with Blended Abstract Semantics ICLR 2021
Learning to Recombine and Resample Data For Compositional Generalization ICLR 2021
Teachable Reinforcement Learning via Advice Distillation NIPS 2021
Leveraging Language to Learn Program Abstractions and Search Heuristics ICML 2021
What Context Features Can Transformer Language Models Use? IJCNLP 2021
Good-Enough Compositional Data Augmentation ACL 2020
Compositional Explanations of Neurons NIPS 2020
Experience Grounds Language EMNLP 2020
A Benchmark for Systematic Generalization in Grounded Language Understanding NIPS 2020
Pragmatically Informative Text Generation NAACL 2019
Guiding Policies with Language via Meta-Learning ICLR 2019
Measuring Compositionality in Representation Learning ICLR 2019
A Survey of Reinforcement Learning Informed by Natural Language IJCAI 2019
Unified Pragmatic Models for Generating and Following Instructions NAACL 2018
Learning with Latent Language NAACL 2018
Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games? ICML 2018
Explainable Neural Computation via Stack Neural Module Networks ECCV 2018
Speaker-Follower Models for Vision-and-Language Navigation NIPS 2018
Learning to Reason: End-To-End Module Networks for Visual Question Answering ICCV 2017
Translating Neuralese ACL 2017
A Minimal Span-Based Neural Constituency Parser ACL 2017
Modeling Relationships in Referential Expressions With Compositional Modular Networks CVPR 2017
Analogs of Linguistic Structure in Deep Representations EMNLP 2017
Modular Multitask Reinforcement Learning with Policy Sketches ICML 2017
Proceedings of the NAACL Student Research Workshop NAACL 2016
Learning to Compose Neural Networks for Question Answering NAACL 2016
Reasoning about Pragmatics with Neural Listeners and Speakers EMNLP 2016
Neural Module Networks CVPR 2016
Alignment-Based Compositional Semantics for Instruction Following EMNLP 2015
When and why are log-linear models self-normalizing? NAACL 2015
On the Accuracy of Self-Normalized Log-Linear Models NIPS 2015
Grounding Language with Points and Paths in Continuous Spaces CONLL 2014
Unsupervised Transcription of Piano Music NIPS 2014
How much do word embeddings encode about syntax? ACL 2014
Parsing Graphs with Hyperedge Replacement Grammars ACL 2013
Semantic Parsing as Machine Translation ACL 2013
Semantics-Based Machine Translation with Hyperedge Replacement Grammars COLING 2012