Papers by Zixu Li
Reason-Code: Reliable Code Generation via Test-Driven Monte Carlo Tree Search (2026.acl-industry)
Copied to clipboard
| Challenge: | Large Language Models (LLMs) are widely used for code generation, but their performance degrades on complex tasks. |
| Approach: | They propose an inference-time framework that formulates code generation as a search process guided by execution feedback. |
| Outcome: | The proposed framework improves reliability without paying full cost of additional sampling under strict latency budgets. |
TEMA: Anchor the Image, Follow the Text for Multi-Modification Composed Image Retrieval (2026.acl-long)
Copied to clipboard
| Challenge: | Composed Image Retrieval (CIR) is an image retrieval paradigm that enables users to retrieve a target image using a multimodal query that consists of a reference image and modification text. |
| Approach: | They propose a text-oriented entity mapping architecture that allows users to use a reference image and modification text to retrieve a target image. |
| Outcome: | The proposed framework is superior in both original and multi-modification scenarios while maintaining an optimal balance between retrieval accuracy and computational efficiency. |