Ling Shi
11 papers · 2022–2026 · 4 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
(10)
Core AI
(10)
Deep Learning
(4)
Machine Learning
(4)
Natural Language Processing
(4)
Resources & Methods
(4)
Learning Types Β· Deep Learning
(3)
Application Areas
(2)
Computer Science
(1)
Reinforcement Learning
(1)
Applications
(1)
Learning Paradigms
(1)
Learning Types Β· Machine Learning
(1)
Methods
(1)
Models
(1)
Keywords
large language model
(7)
instruction tuning
(3)
multi-agent system
(2)
multi-task learning
(1)
direct preference optimization
(1)
speech synthesis
(1)
preference learning
(1)
chain-of-thought reasoning
(1)
model evaluation
(1)
language modeling
(1)
preference optimization
(1)
llm evaluation
(1)
ai safety
(1)
low-resource language
(1)
sensitivity analysis
(1)
speech recognition
(1)
generative model
(1)
pairwise comparison
(1)
benchmark dataset
(1)
policy gradient
(1)
Papers
From Curated Data to Scalable Models: Continual Pre-training of Dense and MoE Large Language Models for Tibetan
ACL 2026
From Insight to Action: A Novel Framework for Interpretability-Guided Data Selection in Large Language Models
ACL 2026
R2IF: Aligning Reasoning with Decisions via Composite Rewards for Interpretable LLM Function Calling
ACL 2026
STEAMROLLER: A Multi-Agent System for Inclusive Automatic Speech Recognition for People Who Stutter
AAAI 2026
CRiskEval: A Chinese Multi-Level Risk Evaluation Benchmark Dataset for Large Language Models
ACL 2025
DiplomacyAgent: Do LLMs Balance Interests and Ethical Principles in International Events?
EMNLP 2025
Praetor: A Fine-Grained Generative LLM Evaluator with Instance-Level Customizable Evaluation Criteria
ACL 2025
Think-Search-Patch: A Retrieval-Augmented Reasoning Framework for Repository-Level Code Repair
EMNLP 2025
FuxiTranyu: A Multilingual Large Language Model Trained with Balanced Data
EMNLP 2024
OpenEval: Benchmarking Chinese LLMs across Capability, Alignment and Safety
ACL 2024
Understanding Policy Gradient Algorithms: A Sensitivity-Based Approach
ICML 2022