PPaperPicks

Songlin Hu

Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China

38 papers at tracked venues · 25 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Exploiting Synergistic Cognitive Biases to Bypass Safety in LLMs
  2. FABLE: Fine-grained Fact Anchoring for Unstructured Model Editing
  3. FAIRGAMER: Evaluating Social Biases in LLM-Based Video Game NPCs
  4. Mem2ActBench: A Benchmark for Evaluating Long-Term Memory Utilization in Task-Oriented Autonomous Agents
  5. Mitigating Adversarial Attacks by Transferring LLM-generated Narrative Reasoning for Robust Fake News Detection
  6. More Thinking, Less Talking: Internalizing Deliberative Safety into LLM Parameters
  7. Multi-Task Representation Alignment on Language Understanding: A Mutual Information Perspective
  8. Resolving the Security-Auditability Dilemma with Auditable Latent Chain-of-Thought Alignment
  9. An Information-theoretic Multi-task Representation Learning Framework for Natural Language Understanding
  10. BotSim: LLM-Powered Malicious Social Botnet Simulation
  11. Capture the Key in Reasoning to Enhance CoT Distillation Generalization
  12. CartesianMoE: Boosting Knowledge Sharing among Experts via Cartesian Product Routing in Mixture-of-Experts
  13. Chain of Attack: Hide Your Intention through Multi-Turn Interrogation
  14. DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs
  15. Dynamic Simulation Framework for Disinformation Dissemination and Correction With Social Bots
  16. Enhancing Multi-Hop Fact Verification with Structured Knowledge-Augmented Large Language Models
  17. Gamma-Guard: Lightweight Residual Adapters for Robust Guardrails in Large Language Models
  18. Impartial Multi-task Representation Learning via Variance-invariant Probabilistic Decoding
  19. LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions
  20. LyapLock: Bounded Knowledge Preservation in Sequential Large Language Model Editing
  21. NExtLong: Toward Effective Long-Context Training without Long Documents
  22. Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model
  23. Regularized Contrastive Decoding with Hard Negative Samples for LLM Hallucination Mitigation
  24. Structure-adaptive Adversarial Contrastive Learning for Multi-Domain Fake News Detection
  25. Structure-aware Propagation Generation with Large Language Models for Fake News Detection
  26. Task-level Distributionally Robust Optimization for Large Language Model-based Dense Retrieval
  27. Visual Perception Uncertainty Learning for Hallucination Detection in Large Vision-Language Models
  28. Breaking the Weak Semantics Bottleneck of Transformers in Time Series Forecasting
  29. Dial-MAE: ConTextual Masked Auto-Encoder for Retrieval-based Dialogue Systems
  30. Drop your Decoder: Pre-training with Bag-of-Word Prediction for Dense Passage Retrieval
  31. Holistic Automated Red Teaming for Large Language Models through Top-Down Test Case Generation and Multi-turn Interaction
  32. Improve Student's Reasoning Generalizability through Cascading Decomposed CoTs Distillation
  33. Information Diffusion Prediction with Graph Neural Ordinary Differential Equation Network
  34. MiLe Loss: a New Loss for Mitigating the Bias of Learning Difficulties in Generative Language Models
  35. Propagation Structure-Semantic Transfer Learning for Robust Fake News Detection
  36. Representation Learning with Conditional Information Flow Maximization
  37. Structured Probabilistic Coding
  38. Uncertainty-Guided Modal Rebalance for Hateful Memes Detection