PPaperPicks

Lidong Bing

Machine Intelligence Technology, DAMO Academy, Alibaba Group

44 papers at tracked venues · 30 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. EverMemOS: A Self-Organizing Memory Operating System for Structured Long-Horizon Reasoning
  2. Revisiting Self-Play Preference Optimization: On the Role of Prompt Difficulty
  3. UniME-V2: MLLM-as-a-Judge for Universal Multimodal Embedding Learning
  4. 2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining
  5. AdaMergeX: Cross-Lingual Transfer with Large Language Models via Adaptive Adapter Merging
  6. Analyzing LLMs' Knowledge Boundary Cognition Across Languages Through the Lens of Internal Representations
  7. Auto-Arena: Automating LLM Evaluations with Agent Peer Battles and Committee Discussions
  8. Breaking the Memory Barrier of Contrastive Loss via Tile-Based Strategy
  9. Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks
  10. Chain of Ideas: Revolutionizing Research Via Novel Idea Development with LLM Agents
  11. ECBench: Can Multi-modal Foundation Models Understand the Egocentric World? A Holistic Embodied Cognition Benchmark
  12. Evolving Prompts In-Context: An Open-ended, Self-replicating Perspective
  13. Finding the Sweet Spot: Preference Data Construction for Scaling Preference Optimization
  14. FineReason: Evaluating and Improving LLMs' Deliberate Reasoning through Reflective Puzzle Solving
  15. Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language Models
  16. LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization
  17. M-LongDoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework
  18. MOOSE-Chem2: Exploring LLM Limits in Fine-Grained Scientific Hypothesis Discovery via Hierarchical Search
  19. Neuro-Symbolic Integration Brings Causal and Reliable Reasoning Proofs
  20. ParaICL: Towards Parallel In-Context Learning
  21. Pruning General Large Language Models into Customized Expert Models
  22. SeaExam and SeaBench: Benchmarking LLMs with Local Multilingual Questions in Southeast Asia
  23. SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages
  24. The Curse of Multi-Modalities: Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio
  25. VideoRefer Suite: Advancing Spatial-Temporal Object Understanding with Video LLM
  26. AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation
  27. CLEX: Continuous Length Extrapolation for Large Language Models
  28. Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources
  29. Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts
  30. Evaluating Psychological Safety of Large Language Models
  31. Exploring the Potential of Large Language Models in Computational Argumentation
  32. How do Large Language Models Handle Multilingualism?
  33. LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency
  34. Large Language Models can Contrastively Refine their Generation for Better Sentence Representation Learning
  35. Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models
  36. Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding
  37. Multilingual Jailbreak Challenges in Large Language Models
  38. Order-Agnostic Data Augmentation for Few-Shot Named Entity Recognition
  39. PuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Abstract Visual Patterns
  40. Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths
  41. SeaLLMs - Large Language Models for Southeast Asia
  42. Sentiment Analysis in the Era of Large Language Models: A Reality Check
  43. Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective
  44. Towards Robust Temporal Reasoning of Large Language Models via a Multi-Hop QA Dataset and Pseudo-Instruction Tuning