PPaperPicks

Chenghua Lin

University of Manchester, Department of Computer Science, UK

35 papers at tracked venues · 18 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values
  2. HiRAS: A Hierarchical Multi-Agent Framework for Paper-to-Code Generation and Execution
  3. MMRA: A Benchmark for Evaluating Multi-Granularity and Multi-Image Relational Association Capabilities in Large Visual Language Models
  4. PAMAS: Self-Adaptive Multi-Agent System with Perspective Aggregation for Misinformation Detection
  5. Prompt-Induced Linguistic Fingerprints for LLM-Generated Fake News Detection
  6. RIGOURATE: Quantifying Scientific Exaggeration with Evidence-Aligned Claim Evaluation
  7. X-ray Made Simple: Lay Radiology Report Generation and Robust Evaluation
  8. Benchmarking for Domain-Specific LLMs: A Case Study on Academia and Beyond
  9. COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning
  10. Can MLLMs Understand the Deep Implication Behind Chinese Images?
  11. Comparing Apples to Oranges: A Dataset & Analysis of LLM Humour Understanding from Traditional Puns to Topical Jokes
  12. Crafting Customisable Characters with LLMs: A Persona-Driven Role-Playing Agent Framework
  13. DocMMIR: A Framework for Document Multi-modal Information Retrieval
  14. Does Acceleration Cause Hidden Instability in Vision Language Models? Uncovering Instance-Level Divergence Through a Large-Scale Empirical Study
  15. Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth
  16. Emphasising Structured Information: Integrating Abstract Meaning Representation into LLMs for Enhanced Open-Domain Dialogue Evaluation
  17. LIME: Less Is More for MLLM Evaluation
  18. LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models
  19. Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence
  20. MuPT: A Generative Symbolic Music Pretrained Transformer
  21. OmniBench: Towards The Future of Universal Omni-Language Models
  22. Selecting Demonstrations for Many-Shot In-Context Learning via Gradient Matching
  23. ATLAS: Improving Lay Summarisation with Attribute-based Control
  24. An Open-Source Data Contamination Report for Large Language Models
  25. CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models
  26. ChatMusician: Understanding and Generating Music Intrinsically with LLM
  27. LLMs as Narcissistic Evaluators: When Ego Inflates Evaluation Scores
  28. LatestEval: Addressing Data Contamination in Language Model Evaluation through Dynamic and Time-Sensitive Test Construction
  29. Leveraging Estimated Transferability Over Human Intuition for Model Selection in Text Ranking
  30. MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training
  31. MMTE: Corpus and Metrics for Evaluating Machine Translation Quality of Metaphorical Language
  32. On the Rigour of Scientific Writing: Criteria, Analysis, and Insights
  33. SLIDE: A Framework Integrating Small and Large Language Models for Open-Domain Dialogues Evaluation
  34. SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval
  35. With Ears to See and Eyes to Hear: Sound Symbolism Experiments with Multimodal Large Language Models