Boxi Cao
17 papers · 2021–2026 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+11 more ↓ Show less ↑
🐝 Cross-Pollinator (13) 🌍 Conference Polyglot (4) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (5)
🧭
Keyword Pioneer
🏃
Academic Marathon
(5)
🌍
Conference Polyglot
(4)
🤝
Dynamic Duo
(14)
🧬
Topic Evolution
💎
Century Club
(14)
📈
Trend Setter
❓
The Questioner
(7)
⚡
Prolific Year
(5)
🗃️
Keyword Collector
(74)
🔥
Unstoppable
(5)
Conferences
ACL (12)
EMNLP (2)
AAAI (1)
COLING (1)
IJCNLP (1)
Top co-authors
Research topics
Keywords
large language model
(9)
pre-trained language model
(3)
factual knowledge
(3)
masked language model
(2)
few-shot learning
(2)
retrieval-augmented generation
(2)
knowledge consistency
(2)
data contamination
(2)
knowledge retrieval
(2)
knowledge injection
(2)
knowledge extraction
(2)
benchmark evaluation
(2)
pretrained language model
(2)
chain-of-thought reasoning
(1)
prompt engineering
(1)
domain adaptation
(1)
relation extraction
(1)
in-context learning
(1)
catastrophic forgetting
(1)
multilingual nlp
(1)
Papers
Does Question Really Matter? The Attribution of Answer Bias in LLM Evaluation
AAAI 2026
ScaleBox: Enabling High-Fidelity and Scalable Code Verification for Large Language Models
ACL 2026
All Languages Matter: Understanding and Mitigating Language Bias in Multilingual RAG
ACL 2026
Critic-CoT: Boosting the Reasoning Abilities of Large Language Model via Chain-of-Thought Critic
ACL 2025
Memorizing is Not Enough: Deep Knowledge Injection Through Reasoning
ACL 2025
The Linguistic Connectivities Within Large Language Models
ACL 2025
StructEval: Deepen and Broaden Large Language Model Assessment via Structured Evaluation
ACL 2024
Retentive or Forgetful? Diving into the Knowledge Memorizing Mechanism of Language Models
COLING 2024
Not All Contexts Are Equal: Teaching LLMs Credibility-aware Generation
EMNLP 2024
Learning or Self-aligning? Rethinking Instruction Fine-tuning
ACL 2024
Spiral of Silence: How is Large Language Model Killing Information Retrieval?—A Case Study on Open Domain Question Answering
ACL 2024
Does the Correctness of Factual Knowledge Matter for Factual Knowledge-Enhanced Pre-trained Language Models?
EMNLP 2023
Learning In-context Learning for Named Entity Recognition
ACL 2023
Can Prompt Probe Pretrained Language Models? Understanding the Invisible Risks from a Causal View
ACL 2022
Pre-training to Match for Unified Low-shot Relation Extraction
ACL 2022
Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases
ACL 2021
Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases
IJCNLP 2021