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Zhang Jing

Sparse-RL: Breaking the Memory Wall in LLM Reinforcement Learning via Stable Sparse Rollouts
2026 · Sijia Luo, Xiaokang Zhang, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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SDPA at BEA 2026 Shared Task 2: Efficient LLM Fine-Tuning for Rubric-based Short Answer Scoring
2026 · Zhexiong Liu, Jing Zhang · Workshop on Innovative Use of NLP for Building Educational Applications
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Omni-I2C: A Holistic Benchmark for High-Fidelity Image-to-Code Generation
2026 · Jiawei Zhou, Chi Zhang, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
FAITH: Factuality Alignment through Integrating Trustworthiness and Honestness
2026 · Xiaoning Dong, Chengyan Wu, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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MTP-RL: Acceleration of Reinforcement Learning Rollouts with Policy-Aligned Multi-Token Prediction
2026 · Ke Wang, Aohan Zeng, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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LLM-SLM Collaborative Framework of Idiomatic Expression Generation
2026 · Hui Gao, Changhao Song, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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From Conversation to Evaluation: Benchmarking LLMs on Development Knowledge via SimpleDevQA
2026 · Jing Zhang, Lianghong Guo, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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Works count: 7
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