Cunxiang Wang
28 papers · 2019–2026 · 8 venues · across top CS/AI venues
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Achievements
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The Questioner
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Research topics
Artificial Intelligence
(21)
Natural Language Processing
(20)
Core AI
(19)
Machine Learning
(13)
Resources & Methods
(12)
Applications
(10)
Generation
(6)
Deep Learning
(5)
Core Methods
(5)
Learning Types Β· Machine Learning
(5)
Learning Paradigms
(3)
Learning Types Β· Deep Learning
(3)
Optimization & Theory
(3)
Application Areas
(2)
Models
(2)
Keywords
large language model
(11)
language model
(3)
preference optimization
(3)
language modeling
(2)
question answering
(2)
text generation
(2)
open-domain question answering
(2)
pre-trained language model
(2)
language model evaluation
(2)
in-context learning
(2)
instruction following
(2)
chain-of-thought reasoning
(2)
commonsense reasoning
(2)
critique generation
(2)
explanation generation
(2)
token selection
(1)
preference learning
(1)
model robustness
(1)
benchmark evaluation
(1)
natural language inference
(1)
Papers
Beyond Literal Mapping: Benchmarking and Improving Non-Literal Translation Evaluation
ACL 2026
HoWToBench: Holistic Evaluation for LLMβs Capability in Human-level Writing using Tree of Writing
ACL 2026
IF-CRITIC: Towards a Fine-Grained LLM Critic for Instruction-Following Evaluation
ACL 2026
IF-RewardBench: Benchmarking Judge Models for Instruction-Following Evaluation
ACL 2026
UDA: Unsupervised Debiasing Alignment for Pair-wise LLM-as-a-Judge
AAAI 2026
CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search
NAACL 2025
How Likely Do LLMs with CoT Mimic Human Reasoning?
COLING 2025
HPSS: Heuristic Prompting Strategy Search for LLM Evaluators
ACL 2025
LongSafety: Evaluating Long-Context Safety of Large Language Models
ACL 2025
NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens
ICLR 2025
R3: βThis is My SQL, Are You With Me?β A Consensus-Based Multi-Agent System for Text-to-SQL Tasks
ACL 2025
Self-DC: When to Reason and When to Act? Self Divide-and-Conquer for Compositional Unknown Questions
NAACL 2025
SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models
ICLR 2025
Training Language Model to Critique for Better Refinement
ACL 2025
Unlocking Recursive Thinking of LLMs: Alignment via Refinement
ACL 2025
Knowledge Conflicts for LLMs: A Survey
EMNLP 2024
LONG2RAG: Evaluating Long-Context & Long-Form Retrieval-Augmented Generation with Key Point Recall
EMNLP 2024
Nash CoT: Multi-Path Inference with Preference Equilibrium
EMNLP 2024
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization
ICLR 2024
RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation
NeurIPS 2024
SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation
EMNLP 2024
Evaluating Open-QA Evaluation
NeurIPS 2023
Exploiting Abstract Meaning Representation for Open-Domain Question Answering
ACL 2023
RFiD: Towards Rational Fusion-in-Decoder for Open-Domain Question Answering
ACL 2023
TRAMS: Training-free Memory Selection for Long-range Language Modeling
EMNLP 2023
Can Generative Pre-trained Language Models Serve As Knowledge Bases for Closed-book QA?
ACL 2021
SemEval-2020 Task 4: Commonsense Validation and Explanation
SemEval 2020
Does it Make Sense? And Why? A Pilot Study for Sense Making and Explanation
ACL 2019