33 results on '"Linyang Li"'
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2. InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning.
3. Can AI Assistants Know What They Don't Know?
4. InternLM2 Technical Report.
5. Query of CC: Unearthing Large Scale Domain-Specific Knowledge from Public Corpora.
6. Turn Waste into Worth: Rectifying Top-k Router of MoE.
7. Balanced Data Sampling for Language Model Training with Clustering.
8. AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling.
9. InferAligner: Inference-Time Alignment for Harmlessness through Cross-Model Guidance.
10. Unified Active Retrieval for Retrieval Augmented Generation.
11. LLatrieval: LLM-Verified Retrieval for Verifiable Generation.
12. PerturbScore: Connecting Discrete and Continuous Perturbations in NLP.
13. SeqXGPT: Sentence-Level AI-Generated Text Detection.
14. Improving Contrastive Learning of Sentence Embeddings from AI Feedback.
15. Character-LLM: A Trainable Agent for Role-Playing.
16. Watermarking LLMs with Weight Quantization.
17. Multijugate Dual Learning for Low-Resource Task-Oriented Dialogue System.
18. Origin Tracing and Detecting of LLMs.
19. Super-Resolution on Rotationally Scanned Photoacoustic Microscopy Images Incorporating Scanning Prior.
20. Mitigating Negative Style Transfer in Hybrid Dialogue System.
21. MarkBERT: Marking Word Boundaries Improves Chinese BERT.
22. Rebuild and Ensemble: Exploring Defense Against Text Adversaries.
23. 'Is Whole Word Masking Always Better for Chinese BERT?': Probing on Chinese Grammatical Error Correction.
24. Is MultiWOZ a Solved Task? An Interactive TOD Evaluation Framework with User Simulator.
25. SENT: Sentence-level Distant Relation Extraction via Negative Training.
26. KNN-BERT: Fine-Tuning Pre-Trained Models with KNN Classifier.
27. Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution.
28. Certified Robustness to Text Adversarial Attacks by Randomized [MASK].
29. Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning.
30. Generating Adversarial Examples in Chinese Texts Using Sentence-Pieces.
31. TextAT: Adversarial Training for Natural Language Understanding with Token-Level Perturbation.
32. BERT-ATTACK: Adversarial Attack Against BERT Using BERT.
33. U-Net: Machine Reading Comprehension with Unanswerable Questions.
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