Dan Klein
Identifiers
- name variant Dan Klein 0.60 · backfill
Papers (34)
- optimize_anything: A Universal API for Optimizing any Text Parameter cs.CL · 2026 · author #9
- Composing Policy Gradients and Prompt Optimization for Language Model Programs cs.CL · 2025 · author #9
- GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning cs.CL · 2025 · author #15
- Why Do Multi-Agent LLM Systems Fail? cs.AI · 2025 · author #9
- Discovering Latent Knowledge in Language Models Without Supervision cs.CL · 2022 · author #3
- Pre-Learning Environment Representations for Data-Efficient Neural Instruction Following cs.CL · 2019 · author #2
- Cross-Domain Generalization of Neural Constituency Parsers cs.CL · 2019 · author #3
- Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation cs.CL · 2019 · author #4
- Pragmatically Informative Text Generation cs.CL · 2019 · author #4
- Multilingual Constituency Parsing with Self-Attention and Pre-Training cs.CL · 2018 · author #3
- Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing cs.CL · 2018 · author #2
- Speaker-Follower Models for Vision-and-Language Navigation cs.CV · 2018 · author #9
- Constituency Parsing with a Self-Attentive Encoder cs.CL · 2018 · author #2
- What's Going On in Neural Constituency Parsers? An Analysis cs.CL · 2018 · author #3
- Unified Pragmatic Models for Generating and Following Instructions cs.CL · 2017 · author #3
- Learning with Latent Language cs.CL · 2017 · author #2
- Effective Inference for Generative Neural Parsing cs.CL · 2017 · author #3
- Analogs of Linguistic Structure in Deep Representations cs.CL · 2017 · author #2
- Improving Neural Parsing by Disentangling Model Combination and Reranking Effects cs.CL · 2017 · author #3
- A Minimal Span-Based Neural Constituency Parser cs.CL · 2017 · author #3
- Fine-Grained Entity Typing with High-Multiplicity Assignments cs.CL · 2017 · author #2
- Abstract Syntax Networks for Code Generation and Semantic Parsing cs.CL · 2017 · author #3
- Translating Neuralese cs.CL · 2017 · author #3
- Modular Multitask Reinforcement Learning with Policy Sketches cs.LG · 2016 · author #2
- Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks cs.CL · 2016 · author #3
- Reasoning About Pragmatics with Neural Listeners and Speakers cs.CL · 2016 · author #2
- Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints cs.CL · 2016 · author #3
- Learning to Compose Neural Networks for Question Answering cs.CL · 2016 · author #4
- Neural Module Networks cs.CV · 2015 · author #4
- Alignment-based compositional semantics for instruction following cs.CL · 2015 · author #2
- Neural CRF Parsing cs.CL · 2015 · author #2
- On the accuracy of self-normalized log-linear models stat.ML · 2015 · author #3
- Mixture-of-Parents Maximum Entropy Markov Models cs.LG · 2012 · author #2
- Learning Dependency-Based Compositional Semantics cs.AI · 2011 · author #3
Mentions
- 1206.5261 #2 · backfill · confidence 0.70 Dan Klein
- 1109.6841 #3 · backfill · confidence 0.70 Dan Klein
- 2605.19633 #9 · arxiv_oai · confidence 0.70 Dan Klein
- 2212.03827 #3 · arxiv_oai · confidence 0.70 Dan Klein
Frequent Coauthors
- Jacob Andreas 13 shared papers
- Daniel Fried 8 shared papers
- Mitchell Stern 5 shared papers
- Matei Zaharia 4 shared papers
- Trevor Darrell 4 shared papers
- Greg Durrett 3 shared papers
- Ion Stoica 3 shared papers
- Lakshya A Agrawal 3 shared papers
- Maxim Rabinovich 3 shared papers
- Nikita Kitaev 3 shared papers
- Omar Khattab 3 shared papers
- Alexandros G. Dimakis 2 shared papers
- Anna Rohrbach 2 shared papers
- Christopher Potts 2 shared papers
- David Gaddy 2 shared papers
- Dilara Soylu 2 shared papers
- Joseph E. Gonzalez 2 shared papers
- Kate Saenko 2 shared papers
- Koushik Sen 2 shared papers
- Marcus Rohrbach 2 shared papers