5 citations · 8 across the 12 of their papers we have counts for
16 papers
Dockerless: Environment-Free Program Verifier for Coding Agents
Wenhao Zeng, Yuling Shi, Xiaodong Gu +10
Program verifiers play a central role in training coding agents, including selecting trajectories for supervised fine-tuning (SFT) and providing rewards for reinforcement learning…
SWE-MeM: Learning Adaptive Memory Management for Long-Horizon Coding Agents
Shuzheng Gao, Wenhao Zeng, Zhaojian Yu +5
Long-horizon software engineering agents often need to manage lengthy and noisy interaction histories under limited context budgets. Existing memory management methods typically re…
GPT Carry-On: Training Foundation Model for Customization Could Be Simple, Scalable and Affordable
Jianqiao Wangni
Modern large language foundation models (LLM) have now entered the daily lives of millions of users. We ask a natural question whether it is possible to customize LLM for every use…
Language Models and Cycle Consistency for Self-Reflective Machine Translation
Jianqiao Wangni
This paper introduces a novel framework that leverages large language models (LLMs) for machine translation (MT). We start with one conjecture: an ideal translation should contain…
Convolutional Networks as Extremely Small Foundation Models: Visual Prompting and Theoretical Perspective
Jianqiao Wangni
Comparing to deep neural networks trained for specific tasks, those foundational deep networks trained on generic datasets such as ImageNet classification, benefits from larger-sca…
Deep Nonparametric Convexified Filtering for Computational Photography, Image Synthesis and Adversarial Defense
Jianqiao Wangni
We aim to provide a general framework of for computational photography that recovers the real scene from imperfect images, via the Deep Nonparametric Convexified Filtering (DNCF).…