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1. Sneaking Syntax into Transformer Language Models with Tree Regularization

2. MrT5: Dynamic Token Merging for Efficient Byte-level Language Models

3. AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark

4. NNetscape Navigator: Complex Demonstrations for Web Agents Without a Demonstrator

5. Instruction Following without Instruction Tuning

6. Recurrent Neural Networks Learn to Store and Generate Sequences using Non-Linear Representations

7. h4rm3l: A Dynamic Benchmark of Composable Jailbreak Attacks for LLM Safety Assessment

8. Handwritten Code Recognition for Pen-and-Paper CS Education

9. CoQA: A Conversational Question Answering Challenge

10. Statistical Uncertainty in Word Embeddings: GloVe-V

11. Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools

12. MoEUT: Mixture-of-Experts Universal Transformers

13. Semgrex and Ssurgeon, Searching and Manipulating Dependency Graphs

14. Assessing The Potential Of Mid-Sized Language Models For Clinical QA

15. Do 'English' Named Entity Recognizers Work Well on Global Englishes?

16. ReFT: Representation Finetuning for Language Models

17. FLawN-T5: An Empirical Examination of Effective Instruction-Tuning Data Mixtures for Legal Reasoning

18. Mapping the Increasing Use of LLMs in Scientific Papers

19. BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text

20. BAGEL: Bootstrapping Agents by Guiding Exploration with Language

21. pyvene: A Library for Understanding and Improving PyTorch Models via Interventions

22. Model Editing with Canonical Examples

23. RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval

24. Fine-tuning Language Models for Factuality

25. Pushdown Layers: Encoding Recursive Structure in Transformer Language Models

26. Machine Translation for Nko: Tools, Corpora and Baseline Results

27. An Emulator for Fine-Tuning Large Language Models using Small Language Models

28. Grokking of Hierarchical Structure in Vanilla Transformers

29. Direct Preference Optimization: Your Language Model is Secretly a Reward Model

30. Backpack Language Models

31. Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

32. MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions

33. Meta-Learning Online Adaptation of Language Models

34. ReCOGS: How Incidental Details of a Logical Form Overshadow an Evaluation of Semantic Interpretation

35. DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature

36. JamPatoisNLI: A Jamaican Patois Natural Language Inference Dataset

37. Self-Destructing Models: Increasing the Costs of Harmful Dual Uses of Foundation Models

38. Enhancing Self-Consistency and Performance of Pre-Trained Language Models through Natural Language Inference

39. On Measuring the Intrinsic Few-Shot Hardness of Datasets

40. Holistic Evaluation of Language Models

41. Fixing Model Bugs with Natural Language Patches

42. Characterizing Intrinsic Compositionality in Transformers with Tree Projections

44. Truncation Sampling as Language Model Desmoothing

45. Deep Bidirectional Language-Knowledge Graph Pretraining

46. When can I Speak? Predicting initiation points for spoken dialogue agents

47. Neural Generation Meets Real People: Building a Social, Informative Open-Domain Dialogue Agent

48. Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset

49. Memory-Based Model Editing at Scale

50. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

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