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Houfeng Wang

Peking University, Beijing, China

20 papers at tracked venues · 15 at CORE A* · active 20242026

Venues

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Papers

  1. Attention Weights as an Indicator: Analyzing and Improving Document Utilization in Retrieval-Augmented Generation
  2. Beyond Transcription: Unified Audio Schema for Perception-Aware AudioLLMs
  3. Investigating More Explainable and Partition-Free Compositionality Estimation for LLMs: A Rule-Generation Perspective
  4. P-Aligner: Pre-Aligning LLMs via Principled Instruction Synthesis
  5. Two Pathways to Truthfulness: On the Intrinsic Encoding of LLM Hallucinations
  6. Encode Errors: Representational Retrieval of In-Context Demonstrations for Multilingual Grammatical Error Correction
  7. Explanation based In-Context Demonstrations Retrieval for Multilingual Grammatical Error Correction
  8. FEA-Bench: A Benchmark for Evaluating Repository-Level Code Generation for Feature Implementation
  9. Instantly Learning Preference Alignment via In-context DPO
  10. Investigating the (De)Composition Capabilities of Large Language Models in Natural-to-Formal Language Conversion
  11. Learn to Memorize: Scalable Continual Learning in Semiparametric Models with Mixture-of-Neighbors Induction Memory
  12. MC²: A Minimum-Coverage and Dataset-Agnostic Framework for Compositional Generalization of LLMs on Semantic Parsing
  13. Odysseus Navigates the Sirens' Song: Dynamic Focus Decoding for Factual and Diverse Open-Ended Text Generation
  14. Sheetpedia: A 300K-Spreadsheet Corpus for Spreadsheet Intelligence and LLM Fine-Tuning
  15. TimE: A Multi-level Benchmark for Temporal Reasoning of LLMs in Real-World Scenarios
  16. Well Begun is Half Done: Low-resource Preference Alignment by Weak-to-Strong Decoding
  17. DVD: Dynamic Contrastive Decoding for Knowledge Amplification in Multi-Document Question Answering
  18. Detection-Correction Structure via General Language Model for Grammatical Error Correction
  19. Preference Ranking Optimization for Human Alignment
  20. SPOR: A Comprehensive and Practical Evaluation Method for Compositional Generalization in Data-to-Text Generation