Ling Shi
11 papers · 2022–2026 · 4 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (3) π Renaissance Researcher (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (21)
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Keyword Pioneer
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Hot Topic Early Bird
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The Questioner
Conferences
ACL (6)
EMNLP (3)
AAAI (1)
ICML (1)
Top co-authors
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
R2IF: Aligning Reasoning with Decisions via Composite Rewards for Interpretable LLM Function Calling
ACL 2026
From Insight to Action: A Novel Framework for Interpretability-Guided Data Selection in Large Language Models
ACL 2026
STEAMROLLER: A Multi-Agent System for Inclusive Automatic Speech Recognition for People Who Stutter
AAAI 2026
Think-Search-Patch: A Retrieval-Augmented Reasoning Framework for Repository-Level Code Repair
EMNLP 2025
Praetor: A Fine-Grained Generative LLM Evaluator with Instance-Level Customizable Evaluation Criteria
ACL 2025
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
OpenEval: Benchmarking Chinese LLMs across Capability, Alignment and Safety
ACL 2024
FuxiTranyu: A Multilingual Large Language Model Trained with Balanced Data
EMNLP 2024
Understanding Policy Gradient Algorithms: A Sensitivity-Based Approach
ICML 2022