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Collections including paper arxiv:2402.10963

Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking

Paper • 2403.09629 • Published Mar 14 • 54
How Far Are We from Intelligent Visual Deductive Reasoning?

Paper • 2403.04732 • Published Mar 7 • 18
Teaching Large Language Models to Reason with Reinforcement Learning

Paper • 2403.04642 • Published Mar 7 • 46
GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements

Paper • 2402.10963 • Published Feb 13 • 9

Evaluating Very Long-Term Conversational Memory of LLM Agents

Paper • 2402.17753 • Published Feb 27 • 17
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

PALO: A Polyglot Large Multimodal Model for 5B People

Paper • 2402.14818 • Published Feb 22 • 22
LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens

Paper • 2402.13753 • Published Feb 21 • 106
User-LLM: Efficient LLM Contextualization with User Embeddings

Paper • 2402.13598 • Published Feb 21 • 18
Coercing LLMs to do and reveal (almost) anything

Paper • 2402.14020 • Published Feb 21 • 12

TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization

Paper • 2402.13249 • Published Feb 20 • 10
The FinBen: An Holistic Financial Benchmark for Large Language Models

Paper • 2402.12659 • Published Feb 20 • 13
Instruction-tuned Language Models are Better Knowledge Learners

Paper • 2402.12847 • Published Feb 20 • 24
Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Paper • 2402.13064 • Published Feb 20 • 45

Data Efficient Approaches

How to Train Data-Efficient LLMs

Paper • 2402.09668 • Published Feb 15 • 34
LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement

Paper • 2403.15042 • Published Mar 22 • 24
MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets

Paper • 2403.03194 • Published Mar 5 • 11
Orca-Math: Unlocking the potential of SLMs in Grade School Math

Paper • 2402.14830 • Published Feb 16 • 23

Unicron: Economizing Self-Healing LLM Training at Scale

Paper • 2401.00134 • Published Dec 30, 2023 • 9
Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models

Paper • 2401.00788 • Published Jan 1 • 21
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding

Paper • 2401.04398 • Published Jan 9 • 18
The Impact of Reasoning Step Length on Large Language Models

Paper • 2401.04925 • Published Jan 10 • 15

Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer

Paper • 2311.06720 • Published Nov 12, 2023 • 6
System 2 Attention (is something you might need too)

Paper • 2311.11829 • Published Nov 20, 2023 • 38
TinyGSM: achieving >80% on GSM8k with small language models

Paper • 2312.09241 • Published Dec 14, 2023 • 34
ReFT: Reasoning with Reinforced Fine-Tuning

Paper • 2401.08967 • Published Jan 17 • 27

Reasoning | Planning

Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation

Paper • 2310.18628 • Published Oct 28, 2023 • 6
TeacherLM: Teaching to Fish Rather Than Giving the Fish, Language Modeling Likewise

Paper • 2310.19019 • Published Oct 29, 2023 • 9
Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs

Paper • 2311.02262 • Published Nov 3, 2023 • 9
Thread of Thought Unraveling Chaotic Contexts

Paper • 2311.08734 • Published Nov 15, 2023 • 4

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