PPaperPicks

Ting Liu

Harbin Institute of Technology, Research Center for Social Computing and Information Retrieval, China

53 papers at tracked venues · 40 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. AutoVecCoder: Teaching LLMs to Generate Explicitly Vectorized Code
  2. Bridging Scale Discrepancies in Robotic Control via Language-Based Action Representations
  3. Consolidation or Adaptation? PRISM: Disentangling SFT and RL Data via Gradient Concentration
  4. CultureRL: Internalizing Cultural Principles in Large Language Models via Norm-Driven Reinforcement Learning
  5. Exploring and Distilling Multi-Dimensional Clues for Interpretable Social Bot Detection
  6. FAER: Benchmarking VLMs for Failure-Aware Embodied Reasoning
  7. Large Language Models Are Still Misled by Simple Bias Ensembles
  8. MAESTRO: Meta-learning Adaptive Estimation of Scalarization Trade-offs for Reward Optimization
  9. MDC-Bench: A Multidisciplinary Causal Benchmark Based on Causal Structures for Evaluating Large Language Models
  10. On Safety Risks in Experience-Driven Self-Evolving Agents
  11. Question Tells You Where the Answer Is: Intention-aware Long-Context KV Cache Compression
  12. The Visual Prism: Refracting Images into Parallel Multilingual Descriptions with Structured Visual Guidance
  13. TinyJudge: Unverifiable Constraint Alignment via Lightweight Specialist Ensembles
  14. Toward Secure Tuning: Mitigating Security Risks from Instruction Fine-Tuning
  15. Trade-offs in Large Reasoning Models: An Empirical Analysis of Deliberative and Adaptive Reasoning over Foundational Capabilities
  16. AdaSteer: Your Aligned LLM is Inherently an Adaptive Jailbreak Defender
  17. Alleviating Hallucinations from Knowledge Misalignment in Large Language Models via Selective Abstention Learning
  18. Analyzing the Rapid Generalization of SFT via the Perspective of Attention Head Activation Patterns
  19. Beware of Your Po! Measuring and Mitigating AI Safety Risks in Role-Play Fine-Tuning of LLMs
  20. Beyond Fixed Length: Bucket Pre-training is All You Need
  21. Beyond Frameworks: Unpacking Collaboration Strategies in Multi-Agent Systems
  22. Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection
  23. Chain of Strategy Optimization Makes Large Language Models Better Emotional Supporter
  24. Com² : A Causal-Guided Benchmark for Exploring Complex Commonsense Reasoning in Large Language Models
  25. ExpeTrans: LLMs Are Experiential Transfer Learners
  26. Exploring Large Language Models for Effective Rumor Detection on Social Media
  27. FroM: Frobenius Norm-Based Data-Free Adaptive Model Merging
  28. From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systems
  29. How Does Sequence Modeling Architecture Influence Base Capabilities of Pre-trained Language Models? Exploring Key Architecture Design Principles to Avoid Base Capabilities Degradation
  30. Length Controlled Generation for Black-box LLMs
  31. MPO: Multilingual Safety Alignment via Reward Gap Optimization
  32. Natural Logic at the Core: Dynamic Rewards for Entailment Tree Generation
  33. Nullspace Disentanglement for Red Teaming Language Models
  34. One for All: Update Parameterized Knowledge Across Multiple Models with Once Edit
  35. PRISM: A Benchmark for Unveiling Cross-modal Knowledge Inconsistency in Large Vision-Language Models
  36. Stimulate the Critical Thinking of LLMs via Debiasing Discussion
  37. Teaching Language Models to Evolve with Users: Dynamic Profile Modeling for Personalized Alignment
  38. Tool Zero: Training Tool-Augmented LLMs via Pure RL from Scratch
  39. UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection
  40. When Less Language is More: Language-Reasoning Disentanglement Makes LLMs Better Multilingual Reasoners
  41. iTool: Reinforced Fine-Tuning with Dynamic Deficiency Calibration for Advanced Tool Use
  42. AS-ES Learning: Towards efficient CoT learning in small models
  43. Aligning Translation-Specific Understanding to General Understanding in Large Language Models
  44. Causal-Guided Active Learning for Debiasing Large Language Models
  45. Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning
  46. Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration
  47. Exploring Hybrid Question Answering via Program-based Prompting
  48. Length Extrapolation of Transformers: A Survey from the Perspective of Positional Encoding
  49. Manifold-Based Verbalizer Space Re-embedding for Tuning-Free Prompt-Based Classification
  50. Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance
  51. Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future
  52. Prove Your Point!: Bringing Proof-Enhancement Principles to Argumentative Essay Generation
  53. Self-Evolving GPT: A Lifelong Autonomous Experiential Learner