Hongye Jin
8 papers · 2023–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (19) ❓ The Questioner (2) ⚡ Prolific Year · Productive
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Keyword Collector
(50)
Venues
Top co-authors
Research topics
Keywords
large language model
(4)
long context
(2)
context window
(2)
evaluation benchmark
(2)
model compression
(2)
language model evaluation
(1)
domain generalization
(1)
neural network training
(1)
distribution shift
(1)
gradient descent
(1)
node prediction
(1)
language model
(1)
model security
(1)
context length
(1)
transformer optimization
(1)
model editing
(1)
kv cache compression
(1)
privacy preservation
(1)
key-value cache
(1)
algorithmic fairness
(1)
Papers
100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability?
ACL 2025
LongLeader: A Comprehensive Leaderboard for Large Language Models in Long-context Scenarios
NAACL 2025
Gradient Rewiring for Editable Graph Neural Network Training
NeurIPS 2024
KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache
ICML 2024
KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches
EMNLP 2024
LLM Maybe LongLM: SelfExtend LLM Context Window Without Tuning
ICML 2024
Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion
EMNLP 2024
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach
NeurIPS 2023