PPaperPicks

Xinglin Wang

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

Venues

Frequent coauthors

Papers

  1. Do Retrieval Augmented Language Models Know When They Don't Know?
  2. LLM-Powered Benchmark Factory: Reliable, Generic, and Efficient
  3. Beyond One-Size-Fits-All: Tailored Benchmarks for Efficient Evaluation
  4. CogLM: Tracking Cognitive Development of Large Language Models
    NAACL 2025 · Xinglin Wang
  5. Every Rollout Counts: Optimal Resource Allocation for Efficient Test-Time Scaling
    NeurIPS 2025 · Xinglin Wang
  6. From Sub-Ability Diagnosis to Human-Aligned Generation: Bridging the Gap for Text Length Control via MarkerGen
  7. InsBank: Evolving Instruction Subset for Ongoing Alignment
  8. Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning
    NAACL 2025 · Xinglin Wang
  9. Mind the Quote: Enabling Quotation-Aware Dialogue in LLMs via Plug-and-Play Modules
  10. Revisiting Self-Consistency from Dynamic Distributional Alignment Perspective on Answer Aggregation
  11. Silencer: From Discovery to Mitigation of Self-Bias in LLM-as-Benchmark-Generator
  12. Speculative Decoding for Multi-Sample Inference
  13. UniCBE: An Uniformity-driven Comparing Based Evaluation Framework with Unified Multi-Objective Optimization
  14. BatchEval: Towards Human-like Text Evaluation
  15. Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step Reasoning
  16. Focused Large Language Models are Stable Many-Shot Learners
  17. Instruction Embedding: Latent Representations of Instructions Towards Task Identification
  18. Integrate the Essence and Eliminate the Dross: Fine-Grained Self-Consistency for Free-Form Language Generation
    ACL 2024 · Xinglin Wang
  19. Poor-Supervised Evaluation for SuperLLM via Mutual Consistency
  20. Turning Dust into Gold: Distilling Complex Reasoning Capabilities from LLMs by Leveraging Negative Data