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Collections including paper arxiv:2404.02060

Papers - University - University of Waterloo

Long-context LLMs Struggle with Long In-context Learning

Paper • 2404.02060 • Published Apr 2 • 34
Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks

Paper • 2211.12588 • Published Nov 22, 2022 • 3
StructLM: Towards Building Generalist Models for Structured Knowledge Grounding

Paper • 2402.16671 • Published Feb 26 • 26
Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model

Paper • 2404.04167 • Published Apr 5 • 12

Papers - Benchmarks

The FinBen: An Holistic Financial Benchmark for Large Language Models

Paper • 2402.12659 • Published Feb 20 • 16
Long-context LLMs Struggle with Long In-context Learning

Paper • 2404.02060 • Published Apr 2 • 34
Challenge LLMs to Reason About Reasoning: A Benchmark to Unveil Cognitive Depth in LLMs

Paper • 2312.17080 • Published Dec 28, 2023 • 1
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Paper • 1804.07461 • Published Apr 20, 2018 • 4

Can large language models explore in-context?

Paper • 2403.15371 • Published Mar 22 • 31
Advancing LLM Reasoning Generalists with Preference Trees

Paper • 2404.02078 • Published Apr 2 • 43
Long-context LLMs Struggle with Long In-context Learning

Paper • 2404.02060 • Published Apr 2 • 34
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences

Paper • 2404.03715 • Published Apr 4 • 60

Papers - University - Carnegie Mellon University

Can large language models explore in-context?

Paper • 2403.15371 • Published Mar 22 • 31
Long-context LLMs Struggle with Long In-context Learning

Paper • 2404.02060 • Published Apr 2 • 34
PIQA: Reasoning about Physical Commonsense in Natural Language

Paper • 1911.11641 • Published Nov 26, 2019 • 2
AQuA: A Benchmarking Tool for Label Quality Assessment

Paper • 2306.09467 • Published Jun 15, 2023 • 1

Papers - ICL - In-Context Learning

Pretraining Data Mixtures Enable Narrow Model Selection Capabilities in Transformer Models

Paper • 2311.00871 • Published Nov 1, 2023 • 2
Can large language models explore in-context?

Paper • 2403.15371 • Published Mar 22 • 31
Data Distributional Properties Drive Emergent In-Context Learning in Transformers

Paper • 2205.05055 • Published Apr 22, 2022 • 2
Long-context LLMs Struggle with Long In-context Learning

Paper • 2404.02060 • Published Apr 2 • 34

Unlocking the conversion of Web Screenshots into HTML Code with the WebSight Dataset

Paper • 2403.09029 • Published Mar 14 • 54
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Paper • 2403.12968 • Published Mar 19 • 24
RAFT: Adapting Language Model to Domain Specific RAG

Paper • 2403.10131 • Published Mar 15 • 66
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking

Paper • 2403.09629 • Published Mar 14 • 72

Context Scaling

Training-Free Long-Context Scaling of Large Language Models

Paper • 2402.17463 • Published Feb 27 • 19
Evaluating Very Long-Term Conversational Memory of LLM Agents

Paper • 2402.17753 • Published Feb 27 • 18
Resonance RoPE: Improving Context Length Generalization of Large Language Models

Paper • 2403.00071 • Published Feb 29 • 22
BurstAttention: An Efficient Distributed Attention Framework for Extremely Long Sequences

Paper • 2403.09347 • Published Mar 14 • 20

Evaluating Very Long-Term Conversational Memory of LLM Agents

Paper • 2402.17753 • Published Feb 27 • 18
StructLM: Towards Building Generalist Models for Structured Knowledge Grounding

Paper • 2402.16671 • Published Feb 26 • 26
Do Large Language Models Latently Perform Multi-Hop Reasoning?

Paper • 2402.16837 • Published Feb 26 • 24
Divide-or-Conquer? Which Part Should You Distill Your LLM?

Paper • 2402.15000 • Published Feb 22 • 22

daily_paper_coll

Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models

Paper • 2402.19427 • Published Feb 29 • 52
Beyond Language Models: Byte Models are Digital World Simulators

Paper • 2402.19155 • Published Feb 29 • 49
StarCoder 2 and The Stack v2: The Next Generation

Paper • 2402.19173 • Published Feb 29 • 133
Simple linear attention language models balance the recall-throughput tradeoff

Paper • 2402.18668 • Published Feb 28 • 18

Large Language Model (LLM) and NLP related papers.

about 15 hours ago

LoRA+: Efficient Low Rank Adaptation of Large Models

Paper • 2402.12354 • Published Feb 19 • 6
The FinBen: An Holistic Financial Benchmark for Large Language Models

Paper • 2402.12659 • Published Feb 20 • 16
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization

Paper • 2402.13249 • Published Feb 20 • 10
TrustLLM: Trustworthiness in Large Language Models

Paper • 2401.05561 • Published Jan 10 • 64

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