PPaperPicks

Xiaocheng Feng

43 papers at tracked venues · 33 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Adaptive Backtracking for Privacy Protection in Large Language Models
  2. Breaking Language Preference in Multilingual RAG via Language-Controllable Retrieval and Language-Agnostic Reasoning
  3. CCFQA: A Benchmark for Cross-Lingual and Cross-Modal Speech and Text Factuality Evaluation
  4. Causal Tracing of Object Representations in Large Vision Language Models: Mechanistic Interpretability and Hallucination Mitigation
  5. Culture-Aware Machine Translation in Large Language Models: Benchmarking and Investigation
  6. Fine-Mem: Fine-Grained Feedback Alignment for Long-Horizon Memory Management
  7. ImplicitMemBench: Measuring Unconscious Behavioral Adaptation in Large Language Models
  8. LangGPS: Language Separability Guided Data Pre-Selection for Joint Multilingual Instruction Tuning
  9. Learning Depth from Past Selves: Self-Evolution Contrast for Robust Depth Estimation
  10. MPR-GUI: Benchmarking and Enhancing Multilingual Perception and Reasoning in GUI Agents
  11. Question Tells You Where the Answer Is: Intention-aware Long-Context KV Cache Compression
  12. SAVOIR: Learning Social Savoir-Faire via Shapley-based Reward Attribution
  13. Stratagem: Learning Transferable Reasoning via Trajectory-Modulated Game Self-Play
  14. The Visual Prism: Refracting Images into Parallel Multilingual Descriptions with Structured Visual Guidance
  15. Two-Stage Parameter Alignment for Multi-LoRA Merging in Large Language Models
  16. Unlocking Multilingual Reasoning Capability of LLMs and LVLMs through Representation Engineering
  17. WebAnchor: Anchoring Agent Planning to Stabilize Long-Horizon Web Reasoning
  18. x1: Learning to Think Adaptively Across Languages and Cultures
  19. Alleviating Hallucinations from Knowledge Misalignment in Large Language Models via Selective Abstention Learning
  20. CC-Tuning: A Cross-Lingual Connection Mechanism for Improving Joint Multilingual Supervised Fine-Tuning
  21. CLAIM: Mitigating Multilingual Object Hallucination in Large Vision-Language Models with Cross-Lingual Attention Intervention
  22. CoMT: A Novel Benchmark for Chain of Multi-modal Thought on Large Vision-Language Models
  23. Context-Aware Hierarchical Taxonomy Generation for Scientific Papers via LLM-Guided Multi-Aspect Clustering
  24. Cross-Lingual Text-Rich Visual Comprehension: An Information Theory Perspective
  25. Enhancing Non-English Capabilities of English-Centric Large Language Models Through Deep Supervision Fine-Tuning
  26. FroM: Frobenius Norm-Based Data-Free Adaptive Model Merging
  27. From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systems
  28. Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization
  29. Language-Specific Layer Matters: Efficient Multilingual Enhancement for Large Vision-Language Models
  30. Length Controlled Generation for Black-box LLMs
  31. One for All: Update Parameterized Knowledge Across Multiple Models with Once Edit
  32. Probing and Boosting Large Language Models Capabilities via Attention Heads
  33. RLAIF-V: Open-Source AI Feedback Leads to Super GPT-4V Trustworthiness
  34. Advancing Large Language Model Attribution through Self-Improving
  35. Aligning Translation-Specific Understanding to General Understanding in Large Language Models
  36. An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation
  37. Discrete Modeling via Boundary Conditional Diffusion Processes
  38. Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration
  39. Extending Context Window of Large Language Models from a Distributional Perspective
  40. GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarization
  41. Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models
  42. Learning Fine-Grained Grounded Citations for Attributed Large Language Models
  43. Length Extrapolation of Transformers: A Survey from the Perspective of Positional Encoding