Zhuohao Yu
11 papers · 2021–2026 · 6 venues · across top CS/AI venues
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (25)
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Artificial Intelligence
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Natural Language Processing
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Learning Types · Machine Learning
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Deep Learning
(4)
Generation
(3)
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Reinforcement Learning
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large language model
(6)
pre-trained language model
(3)
data contamination
(2)
model evaluation
(2)
query reformulation
(1)
text generation
(1)
uncertainty quantification
(1)
language model evaluation
(1)
in-context learning
(1)
code generation
(1)
empirical study
(1)
distributed computing
(1)
instruction tuning
(1)
evaluation framework
(1)
empirical evaluation
(1)
reinforcement learning from human feedback
(1)
model comparison
(1)
distributed computation
(1)
variational autoencoder
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language modeling
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Papers
Many Minds, One Path: LLM-Augmented Consensus Decision for Distributed Control in Multi-Agent Collaborative Stable Scenarios
AAAI 2026
An Empirical Analysis of Uncertainty in Large Language Model Evaluations
ICLR 2025
Reasoning Through Execution: Unifying Process and Outcome Rewards for Code Generation
ICML 2025
FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models
EMNLP 2024
KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models
ACL 2024
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization
ICLR 2024
PURE: Aligning LLM via Pluggable Query Reformulation for Enhanced Helpfulness
EMNLP 2024
Supervised Knowledge Makes Large Language Models Better In-context Learners
ICLR 2024
ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models
NAACL 2022
TextBox 2.0: A Text Generation Library with Pre-trained Language Models
EMNLP 2022
TextBox: A Unified, Modularized, and Extensible Framework for Text Generation
ACL 2021