← Authors

Xunliang Cai

49 papers · 2021–2026 · 8 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (11) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (12) 🧭 Keyword Pioneer πŸƒ Academic Marathon (5) 🌍 Conference Polyglot (8) 🀝 Dynamic Duo (24) πŸ‘₯ Mega-Team (27) πŸ”¬ Deep Specialist (16) πŸ’Ž Century Club (47) ⚑ Prolific Year (10) ❓ The Questioner (4) πŸ—ƒοΈ Keyword Collector (223) πŸ”₯ Unstoppable (5)

Conferences

EMNLP (18) ACL (16) AAAI (7) COLING (2) ICLR (2) NAACL (2) IJCNLP (1) NIPS (1)

Top co-authors

Jingang Wang (26) Jiahao Liu (8) Jiansong Chen (7) Weiran Xu (7) Mengdi Zhang (7) Sirui Wang (7) Keqing He (6) Dongyan Zhao (5) Feiyu Duan (5) Le Sun (4)

Keywords

large language model (27) reinforcement learning (5) data quality (5) code generation (4) knowledge distillation (4) language model (3) instruction tuning (3) mathematical reasoning (3) retrieval-augmented generation (3) data selection (3) error detection (2) few-shot learning (2) continual learning (2) intent detection (2) adversarial learning (2) semantic parsing (2) out-of-domain detection (2) zero-shot learning (2) knowledge transfer (2) model compression (2)

Papers

Scaling and Transferability of Annealing Strategies in Large Language Model Training AAAI 2026
Rethinking the Sampling Criteria in Reinforcement Learning for LLM Reasoning: A Competence-Difficulty Alignment Perspective AAAI 2026
FIRE: Flexible Integration of Data Quality Ratings for Effective Pretraining EMNLP 2025
MUSE: MCTS-Driven Red Teaming Framework for Enhanced Multi-Turn Dialogue Safety in Large Language Models EMNLP 2025
A Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy EMNLP 2025
Instance-level Randomization: Toward More Stable LLM Evaluations EMNLP 2025
Prejudge-Before-Think: Enhancing Large Language Models at Test-Time by Process Prejudge Reasoning EMNLP 2025
When to Continue Thinking: Adaptive Thinking Mode Switching for Efficient Reasoning EMNLP 2025
ReMamba: Equip Mamba with Effective Long-Sequence Modeling EMNLP 2025
SampleMix: A Sample-wise Pre-training Data Mixing Strategy by Coordinating Data Quality and Diversity EMNLP 2025
S^3cMath: Spontaneous Step-Level Self-Correction Makes Large Language Models Better Mathematical Reasoners AAAI 2025
Leveraging Dual Process Theory in Language Agent Framework for Real-time Simultaneous Human-AI Collaboration ACL 2025
Revisit Self-Debugging with Self-Generated Tests for Code Generation ACL 2025
The Role of Visual Modality in Multimodal Mathematical Reasoning: Challenges and Insights ACL 2025
Don’t Half-listen: Capturing Key-part Information in Continual Instruction Tuning ACL 2025
Revisiting Scaling Laws for Language Models: The Role of Data Quality and Training Strategies ACL 2025
LogicPro: Improving Complex Logical Reasoning via Program-Guided Learning ACL 2025
Multi-Programming Language Sandbox for LLMs ACL 2025
Why Not Act on What You Know? Unleashing Safety Potential of LLMs via Self-Aware Guard Enhancement ACL 2025
AMoPO: Adaptive Multi-objective Preference Optimization without Reward Models and Reference Models ACL 2025
FRAME: Boosting LLMs with A Four-Quadrant Multi-Stage Pretraining Strategy ACL 2025
Preference Curriculum: LLMs Should Always Be Pretrained on Their Preferred Data ACL 2025
LLMs Know What They Need: Leveraging a Missing Information Guided Framework to Empower Retrieval-Augmented Generation COLING 2025
Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling NAACL 2025
Dynamic Fisher-weighted Model Merging via Bayesian Optimization NAACL 2025
Earlier Tokens Contribute More: Learning Direct Preference Optimization From Temporal Decay Perspective ICLR 2025
AgentRefine: Enhancing Agent Generalization through Refinement Tuning ICLR 2025
Leveraging Unpaired Feedback for Long-Term LLM-based Recommendation Tuning EMNLP 2025
Enhancing LLMs via High-Knowledge Data Selection AAAI 2025
SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models AAAI 2025
Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs EMNLP 2025
How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data EMNLP 2024
What Makes Quantization for Large Language Model Hard? An Empirical Study from the Lens of Perturbation AAAI 2024
DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning ACL 2024
Learning or Self-aligning? Rethinking Instruction Fine-tuning ACL 2024
Speculative Decoding via Early-exiting for Faster LLM Inference with Thompson Sampling Control Mechanism ACL 2024
Graph-Structured Speculative Decoding ACL 2024
Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection COLING 2024
Rethinking the Reversal Curse of LLMs: a Prescription from Human Knowledge Reversal EMNLP 2024
Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning NIPS 2024
Not All Contexts Are Equal: Teaching LLMs Credibility-aware Generation EMNLP 2024
Improving Input-label Mapping with Demonstration Replay for In-context Learning EMNLP 2023
Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression EMNLP 2023
APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection EMNLP 2023
Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT EMNLP 2023
Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Loss AAAI 2022
Domain-Lifelong Learning for Dialogue State Tracking via Knowledge Preservation Networks EMNLP 2021
From Paraphrasing to Semantic Parsing: Unsupervised Semantic Parsing via Synchronous Semantic Decoding ACL 2021
From Paraphrasing to Semantic Parsing: Unsupervised Semantic Parsing via Synchronous Semantic Decoding IJCNLP 2021