Takeshi Kojima
20 papers · 2021–2026 · 9 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
(17)
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Natural Language Processing
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Deep Learning
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Keywords
large language model
(6)
instruction following
(3)
text generation
(2)
in-context learning
(2)
model compression
(2)
language model
(2)
vision transformer
(1)
benchmark evaluation
(1)
model quantization
(1)
uncertainty quantification
(1)
knowledge extraction
(1)
attention mechanism
(1)
machine translation
(1)
causal reasoning
(1)
zero-shot learning
(1)
dependency parsing
(1)
domain adaptation
(1)
chain-of-thought reasoning
(1)
text reconstruction
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prompt engineering
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Papers
Automated Refinement of Essay Scoring Rubrics for Language Models via Reflect-and-Revise
CoNLL 2026
ClinDet-Bench: Beyond Abstention, Evaluating Judgment Determinability of LLMs in Clinical Decision-Making
ACL 2026
Infinity-MoE: Generalizing Mixture of Experts to Infinite Experts
EACL 2026
Revealing Redundant Syntax in Large Language Models through Multi-Hop Dependency Paths
EACL 2026
Semantic Token Clustering for Efficient Uncertainty Quantification in Large Language Models
EACL 2026
Understanding Emergent Misalignment via Feature Superposition Geometry
ACL 2026
A Comprehensive Survey on Physical Risk Control in the Era of Foundation Model-enabled Robotics
IJCAI 2025
Answer When Needed, Forget When Not: Language Models Pretend to Forget via In-Context Knowledge Unlearning
ACL 2025
Crypto-LLM: Two-Stage Language Model Pre-training with Ciphered and Natural Language Data
IJCNLP 2025
Dynamic Injection of Entity Knowledge into Dense Retrievers
EMNLP 2025
Inconsistent Tokenizations Cause Language Models to be Perplexed by Japanese Grammar
ACL 2025
Lost in the Distance: Large Language Models Struggle to Capture Long-Distance Relational Knowledge
NAACL 2025
Slender-Mamba: Fully Quantized Mamba in 1.58 Bits From Head to Toe
COLING 2025
When Instructions Multiply: Measuring and Estimating LLM Capabilities of Multiple Instructions Following
EMNLP 2025
On the Multilingual Ability of Decoder-based Pre-trained Language Models: Finding and Controlling Language-Specific Neurons
NAACL 2024
Which Programming Language and What Features at Pre-training Stage Affect Downstream Logical Inference Performance?
EMNLP 2024
Unnatural Error Correction: GPT-4 Can Almost Perfectly Handle Unnatural Scrambled Text
EMNLP 2023
Large Language Models are Zero-Shot Reasoners
NeurIPS 2022
Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment
IJCAI 2022
Making Use of Latent Space in Language GANs for Generating Diverse Text without Pre-training
EACL 2021