Daniel Fried
CMU LTI assistant professor in code generation, grounded language, and language agents; co-author of InCoder and SWE-bench-related work.
- Role
- professor
- Currently at
- CMU Language Technologies Institute
- twitter.com/dan_fried
- Scholar
- scholar.google.com/citations
- Papers
- 24
Cite
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Authored papers
24SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution
arXiv 2025
AutoPresent: Designing Structured Visuals from Scratch
CVPR 2025 1
Inducing Programmatic Skills for Agentic Tasks
arXiv 2025
RepoST: Scalable Repository-Level Coding Environment Construction with Sandbox Testing
arXiv 2025
Propose, Solve, Verify: Self-Play Through Formal Verification
arXiv 2025
From Reproduction to Replication: Evaluating Research Agents with Progressive Code Masking
arXiv 2025
VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks
ACL
WebArena: A Realistic Web Environment for Building Autonomous Agents
ICLR
Repetition Improves Language Model Embeddings
arXiv 2024
CodeRAG-Bench: Can Retrieval Augment Code Generation?
arXiv 2024
Dissecting Adversarial Robustness of Multimodal LM Agents
arXiv 2024
TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic Tasks
arXiv 2024
ECCO: Can We Improve Model-Generated Code Efficiency Without Sacrificing Functional Correctness?
arXiv 2024
SantaCoder: don't reach for the stars!
arXiv 2023
Generating Images with Multimodal Language Models
NeurIPS 2023 11
Generating Pragmatic Examples to Train Neural Program Synthesizers
arXiv 2023
Grounding Language Models to Images for Multimodal Inputs and Outputs
arXiv 2023
DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation
arXiv 2022
InCoder: A Generative Model for Code Infilling and Synthesis
arXiv 2022
Contrastive Decoding: Open-ended Text Generation as Optimization
arXiv 2022
Execution-Based Evaluation for Open-Domain Code Generation
arXiv 2022
Coder Reviewer Reranking for Code Generation
arXiv 2022
Inferring Rewards from Language in Context
ACL 2022 5
Learning to Segment Actions from Observation and Narration
learning-to-segment-actions-from-observation-1
Affiliations
Frequent co-authors
10from 24 papers
Graham Neubig
professor
Jing Yu Koh
grad-student
Ruslan Salakhutdinov
professor
Zora Zhiruo Wang
Luke Zettlemoyer
professor
Mike Lewis
Shuyan Zhou
professor
aditi raghunathan
Alex Wilf
Frank F. Xu