Tianyang Liu
13 papers · 2023–2026 · 7 conferences · across top CS/AI conferences
Achievements
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Conferences
EMNLP (4)
AAAI (2)
ACL (2)
CVPR (2)
ICLR (1)
NAACL (1)
NIPS (1)
Top co-authors
Keywords
large language model
(6)
language model
(2)
natural language inference
(2)
reinforcement learning
(1)
symbolic reasoning
(1)
attention mechanism
(1)
text classification
(1)
in-context learning
(1)
machine-generated text detection
(1)
preference optimization
(1)
bird's eye view
(1)
language model alignment
(1)
reinforcement learning from human feedback
(1)
probability distribution
(1)
traveling salesman problem
(1)
inductive inference
(1)
semantic segmentation
(1)
tool use
(1)
counterfactual reasoning
(1)
feature alignment
(1)
Papers
Decentralized Arena: Towards Democratic and Scalable Automatic Evaluation of Language Models
ACL 2026
Personalized Question Answering with User Profile Generation and Compression
EMNLP 2025
Imitate Before Detect: Aligning Machine Stylistic Preference for Machine-Revised Text Detection
AAAI 2025
Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs
EMNLP 2025
Neutralizing Bias in LLM Reasoning using Entailment Graphs
ACL 2025
Symbolic Representation for Any-to-Any Generative Tasks
CVPR 2025
Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models
EMNLP 2024
Improving Bird's Eye View Semantic Segmentation by Task Decomposition
CVPR 2024
Explicit Inductive Inference using Large Language Models
EMNLP 2024
RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems
ICLR 2024
Rethinking Tabular Data Understanding with Large Language Models
NAACL 2024
ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings
NIPS 2023
SplitNet: A Reinforcement Learning Based Sequence Splitting Method for the MinMax Multiple Travelling Salesman Problem
AAAI 2023