activity
20222026
most citedSWE-bench: Can Language Models Resolve Real-World GitHub Issues?

53 citations · 145 across the 10 of their papers we have counts for

collaborators
Showing cs.CLShow all

7 papers · 1 filter

cs.CL2026

Prefix Sliding for efficient test-time scaling

Niklas Muennighoff, Zhengyang Wang, Zeyi Chen +15

Test-time scaling uses extra test-time compute to improve performance, such as letting language models reason longer when solving a problem. As models keep the entire reasoning tra…

cs.CL2024★ 2 cited

SWE-bench Multimodal: Do AI Systems Generalize to Visual Software Domains?

John Yang, Carlos E. Jimenez, Alex L. Zhang +10

Autonomous systems for software engineering are now capable of fixing bugs and developing features. These systems are commonly evaluated on SWE-bench (Jimenez et al., 2024a), which…

cs.CL2024★ 3 cited

Prompting Large Language Models to Tackle the Full Software Development Lifecycle: A Case Study

Bowen Li, Wenhan Wu, Ziwei Tang +13

Recent advancements in large language models (LLMs) have significantly enhanced their coding capabilities. However, existing benchmarks predominantly focused on simplified or isola…

cs.CL2023★ 53 cited

SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Carlos E. Jimenez, John Yang, Alexander Wettig +4

Language models have outpaced our ability to evaluate them effectively, but for their future development it is essential to study the frontier of their capabilities. We find real-w…

cs.CL2023★ 8 cited

InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback

John Yang, Akshara Prabhakar, Karthik Narasimhan +1

Humans write code in a fundamentally interactive manner and rely on constant execution feedback to correct errors, resolve ambiguities, and decompose tasks. While LLMs have recentl…

cs.CL2023

Referral Augmentation for Zero-Shot Information Retrieval

Michael Tang, Shunyu Yao, John Yang +1

We propose Referral-Augmented Retrieval (RAR), a simple technique that concatenates document indices with referrals, i.e. text from other documents that cite or link to the given d…

cs.CL2022★ 49 cited

WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents

Shunyu Yao, Howard Chen, John Yang +1

Existing benchmarks for grounding language in interactive environments either lack real-world linguistic elements, or prove difficult to scale up due to substantial human involveme…