Fangkai Jiao
12 papers · 2020–2025 · 4 venues · across top CS/AI venues
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Artificial Intelligence
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Machine Learning
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Learning Types Β· Machine Learning
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Deep Learning
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Keywords
large language model
(5)
logical reasoning
(3)
in-context learning
(2)
self-supervised learning
(2)
retrieval-augmented generation
(2)
direct preference optimization
(2)
instruction following
(1)
multimodal learning
(1)
knowledge distillation
(1)
preference optimization
(1)
output distribution
(1)
code generation
(1)
model evaluation
(1)
semantic representation
(1)
cross-lingual alignment
(1)
text understanding
(1)
machine reading comprehension
(1)
instruction tuning
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natural language inference
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mathematical reasoning
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Papers
Advancing Language Models through Instruction Tuning: Recent Progress and Challenges
EMNLP 2025
Beyond Output Matching: Bidirectional Alignment for Enhanced In-Context Learning
ACL 2025
Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks
ACL 2025
Preference Optimization for Reasoning with Pseudo Feedback
ICLR 2025
Relevant or Random: Can LLMs Truly Perform Analogical Reasoning?
ACL 2025
Exploring Self-supervised Logic-enhanced Training for Large Language Models
NAACL 2024
Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing
EMNLP 2024
SeaEval for Multilingual Foundation Models: From Cross-Lingual Alignment to Cultural Reasoning
NAACL 2024
Retrieving Multimodal Information for Augmented Generation: A Survey
EMNLP 2023
MERIt: Meta-Path Guided Contrastive Learning for Logical Reasoning
ACL 2022
REPT: Bridging Language Models and Machine Reading Comprehension via Retrieval-Based Pre-training
ACL 2021
A Self-Training Method for Machine Reading Comprehension with Soft Evidence Extraction
ACL 2020