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He Du / 杜贺
Ph.D. student at Fudan University, working on agent coding, RL, and data synthesis.
Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
DevBench: A Comprehensive Benchmark for Software Development
Published in International Conference on Computational Linguistics (COLING), 2025
A benchmark evaluating LLMs across the entire software development lifecycle: design, environment setup, implementation, acceptance testing, and unit testing.
Large Language Models Meet Symbolic Provers for Logical Reasoning Evaluation
Published in International Conference on Learning Representations (ICLR), 2025
ProverGen combines LLM generation with symbolic provers to build ProverQA, a scalable and diverse first-order logic reasoning benchmark.
SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution
Published in Findings of the Association for Computational Linguistics: ACL 2025, 2025
An open-source framework for GitHub issue resolution built from a retrieval module and a code editing module, trained on 110K real issues.
Exploring Confidence as a Reward to Advance LLMs Reasoning
Published in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2026
Confidence-as-a-Reward (CRew): a training-free reward signal built from a model’s token-level confidence in its final answer.
Kernel-Smith: A Unified Recipe for Evolutionary Kernel Optimization
Published in Deep Learning for Code (DL4C) Workshop at ICML 2026, 2026
A framework for high-performance GPU kernel generation that pairs an evaluation-driven evolutionary agent with an evolution-oriented post-training recipe.
How to Fine-Tune a Reasoning Model? A Teacher-Student Cooperation Framework to Synthesize Student-Consistent SFT Data
Published in International Conference on Machine Learning (ICML), 2026
TESSY interleaves teacher and student models to synthesize SFT data that keeps the teacher’s reasoning ability while matching the student’s style.
EvoSyn: Generalizable Evolutionary Data Synthesis for Verifiable Learning
Published in Annual Meeting of the Association for Computational Linguistics (ACL), 2026
A task-agnostic evolutionary pipeline that jointly synthesizes problems, candidate solutions, and verification artifacts for verifiable learning.
talks
Talk 1 on Relevant Topic in Your Field
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This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.