Bo Tang
27 papers · 2015–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Conference Polyglot (8) πΊοΈ Taxonomy Completionist (16) π Interdisciplinary Bridge π Academic Marathon (10)
π§
Keyword Pioneer
π
Interdisciplinary Bridge
π
Conference Polyglot
(8)
π€
Dynamic Duo
(12)
π
Keyword Champion
π
Grand Slam
ποΈ
Keyword Collector
(126)
β
The Questioner
(2)
β‘
Prolific Year
(5)
π
Conference Pioneer
π
Century Club
(22)
π₯
Unstoppable
(7)
Conferences
ACL (9)
AAAI (7)
IJCAI (3)
ICLR (2)
ICML (2)
NIPS (2)
CVPR (1)
EMNLP (1)
Top co-authors
Keywords
large language model
(7)
reinforcement learning
(3)
retrieval-augmented generation
(3)
offline reinforcement learning
(3)
text generation
(2)
adversarial attack
(2)
budget constraint
(2)
instruction following
(2)
conditional variational autoencoder
(2)
benchmark evaluation
(2)
chain-of-thought reasoning
(1)
information extraction
(1)
data augmentation
(1)
dialogue generation
(1)
off-policy evaluation
(1)
natural language inference
(1)
policy learning
(1)
preference learning
(1)
policy evaluation
(1)
face recognition
(1)
Papers
CapeNext: Rethinking and Refining Dynamic Support Information for Category-Agnostic Pose Estimation
AAAI 2026
Inside Out: Evolving User-Centric Core Memory Trees for Long-Term Personalized Dialogue Systems
ACL 2026
TAdaRAG: Task Adaptive Retrieval-Augmented Generation via On-the-Fly Knowledge Graph Construction
AAAI 2026
SEAP: Sparse Expert Activation Pruning Unlocks the Brainpower of Large Language Models
AAAI 2026
Enhancing Diffusion Policies with Distribution-Matching Generator in Offline Reinforcement Learning
AAAI 2026
Token-Level Accept or Reject: A Micro Alignment Approach for Large Language Models
IJCAI 2025
SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model
ACL 2025
MoC: Mixtures of Text Chunking Learners for Retrieval-Augmented Generation System
ACL 2025
GuessArena: Guess Who I Am? A Self-Adaptive Framework for Evaluating LLMs in Domain-Specific Knowledge and Reasoning
ACL 2025
CARE-STaR: Constraint-aware Self-taught Reasoner
ACL 2025
Adversarial Preference Learning for Robust LLM Alignment
ACL 2025
xFinder: Large Language Models as Automated Evaluators for Reliable Evaluation
ICLR 2025
UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation
ACL 2024
NewsBench: A Systematic Evaluation Framework for Assessing Editorial Capabilities of Large Language Models in Chinese Journalism
ACL 2024
Controlled Text Generation for Large Language Model with Dynamic Attribute Graphs
ACL 2024
FastMem: Fast Memorization of Prompt Improves Context Awareness of Large Language Models
EMNLP 2024
Off-Policy Primal-Dual Safe Reinforcement Learning
ICLR 2024
Analyzing and Combating Attribute Bias for Face Restoration
IJCAI 2023
Safe Offline Reinforcement Learning with Real-Time Budget Constraints
ICML 2023
Face2Exp: Combating Data Biases for Facial Expression Recognition
CVPR 2022
Generalized Federated Learning via Sharpness Aware Minimization
ICML 2022
BCORLE($\lambda$): An Offline Reinforcement Learning and Evaluation Framework for Coupons Allocation in E-commerce Market
NIPS 2021
Draft and Edit: Automatic Storytelling Through Multi-Pass Hierarchical Conditional Variational Autoencoder
AAAI 2020
Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test?
AAAI 2019
Insufficient Data Can Also Rock! Learning to Converse Using Smaller Data with Augmentation
AAAI 2019
On the Recursive Teaching Dimension of VC Classes
NIPS 2016
Envy-Free Sponsored Search Auctions with Budgets
IJCAI 2015