Papers by Anurag Kumar
SpecAgent: A Speculative Retrieval and Forecasting Agent for Code Completion (2026.acl-long)
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George Ma, Anurag Koul, Qi Chen, Yawen Wu, Sachit Kuhar, Yu Yu, Aritra Sengupta, Varun Kumar, Murali Krishna Ramanathan
| Challenge: | Large Language Models (LLMs) excel at code-related tasks but struggle in real software repositories. |
| Approach: | They propose a large-scale agent that injects repository context at inference time to improve both latency and code-generation quality by proactively exploring repository files during indexing and constructing speculative context. |
| Outcome: | Experiments show that SpecAgent achieves 9–11% relative performance gains compared to baselines while significantly reducing inference latency. |
Bridging Context Gaps: Enhancing Comprehension in Long-Form Social Conversations Through Contextualized Excerpts (2025.coling-main)
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| Challenge: | a recent rise in polarization has led to a rise in the use of loud and extreme voices in public spaces. |
| Approach: | They propose ways to parse and convey information from small-group recorded conversations . they show that LLMs can provide socially relevant context to improve comprehension . |
| Outcome: | The proposed models improve comprehension, readability, and empathy in small-group conversations . the proposed models struggle with capturing key social aspects, the authors show . |