Xiang Liu
39 papers · 2018–2026 · 11 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 10 separate collaboration groups - the largest holds only 31% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Xiang Liu?
7 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Peijie Dong, Xiaowen Chu, Zhenheng Tang
12 papers
· 2024–2026
· EMNLP, NeurIPS, ICML
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Lemonshark: Asynchronous DAG-BFT With Early Finality
NSDI 2026
Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression
ICML 2025
EssayJudge: A Multi-Granular Benchmark for Assessing Automated Essay Scoring Capabilities of Multimodal Large Language Models
ACL 2025
One-shot Federated Learning Methods: A Practical Guide
IJCAI 2025
ParZC: Parametric Zero-Cost Proxies for Efficient NAS
AAAI 2025
Perovskite-LLM: Knowledge-Enhanced Large Language Models for Perovskite Solar Cell Research
EMNLP 2025
Discovering Sparsity Allocation for Layer-wise Pruning of Large Language Models
NeurIPS 2024
FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation
NeurIPS 2024
LPZero: Language Model Zero-cost Proxy Search from Zero
EMNLP 2024
LongGenBench: Long-context Generation Benchmark
EMNLP 2024
Pruner-Zero: Evolving Symbolic Pruning Metric From Scratch for Large Language Models
ICML 2024
Should We Really Edit Language Models? On the Evaluation of Edited Language Models
NeurIPS 2024