stereoplegic
's Collections
Branch-Solve-Merge Improves Large Language Model Evaluation and
Generation
Paper
•
2310.15123
•
Published
•
7
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large
Language Models by Extrapolating Errors from Small Models
Paper
•
2310.13671
•
Published
•
18
Self-Convinced Prompting: Few-Shot Question Answering with Repeated
Introspection
Paper
•
2310.05035
•
Published
•
1
Chain-of-Thought Reasoning is a Policy Improvement Operator
Paper
•
2309.08589
•
Published
•
1
Autonomous Tree-search Ability of Large Language Models
Paper
•
2310.10686
•
Published
•
2
Tree-Planner: Efficient Close-loop Task Planning with Large Language
Models
Paper
•
2310.08582
•
Published
•
2
Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for
Knowledge-intensive Question Answering
Paper
•
2308.13259
•
Published
•
2
Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models
through Logic
Paper
•
2309.13339
•
Published
•
2
CodeCoT and Beyond: Learning to Program and Test like a Developer
Paper
•
2308.08784
•
Published
•
5
Enhancing Reasoning Capabilities of Large Language Models: A Graph-Based
Verification Approach
Paper
•
2308.09267
•
Published
•
2
Are Human-generated Demonstrations Necessary for In-context Learning?
Paper
•
2309.14681
•
Published
•
1
Agent Instructs Large Language Models to be General Zero-Shot Reasoners
Paper
•
2310.03710
•
Published
•
2
SteP: Stacked LLM Policies for Web Actions
Paper
•
2310.03720
•
Published
•
7
You Only Look at Screens: Multimodal Chain-of-Action Agents
Paper
•
2309.11436
•
Published
•
1
Instance Needs More Care: Rewriting Prompts for Instances Yields Better
Zero-Shot Performance
Paper
•
2310.02107
•
Published
•
3
CodePlan: Repository-level Coding using LLMs and Planning
Paper
•
2309.12499
•
Published
•
73
SCREWS: A Modular Framework for Reasoning with Revisions
Paper
•
2309.13075
•
Published
•
15
Forward-Backward Reasoning in Large Language Models for Mathematical
Verification
Paper
•
2308.07758
•
Published
•
4
LLM Guided Inductive Inference for Solving Compositional Problems
Paper
•
2309.11688
•
Published
•
1
MAmmoTH: Building Math Generalist Models through Hybrid Instruction
Tuning
Paper
•
2309.05653
•
Published
•
10
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language
Models
Paper
•
2309.12284
•
Published
•
18
Reverse Chain: A Generic-Rule for LLMs to Master Multi-API Planning
Paper
•
2310.04474
•
Published
•
2
Sci-CoT: Leveraging Large Language Models for Enhanced Knowledge
Distillation in Small Models for Scientific QA
Paper
•
2308.04679
•
Published
•
1
Retrieval-Generation Synergy Augmented Large Language Models
Paper
•
2310.05149
•
Published
•
1
Prompting Large Language Models with Chain-of-Thought for Few-Shot
Knowledge Base Question Generation
Paper
•
2310.08395
•
Published
•
1
GROVE: A Retrieval-augmented Complex Story Generation Framework with A
Forest of Evidence
Paper
•
2310.05388
•
Published
•
4
CodeChain: Towards Modular Code Generation Through Chain of
Self-revisions with Representative Sub-modules
Paper
•
2310.08992
•
Published
•
10
A Zero-Shot Language Agent for Computer Control with Structured
Reflection
Paper
•
2310.08740
•
Published
•
14
Tree of Thoughts: Deliberate Problem Solving with Large Language Models
Paper
•
2305.10601
•
Published
•
10
From Sparse to Dense: GPT-4 Summarization with Chain of Density
Prompting
Paper
•
2309.04269
•
Published
•
32
FIAT: Fusing learning paradigms with Instruction-Accelerated Tuning
Paper
•
2309.04663
•
Published
•
5
Design of Chain-of-Thought in Math Problem Solving
Paper
•
2309.11054
•
Published
•
1
Large Language Models Are Also Good Prototypical Commonsense Reasoners
Paper
•
2309.13165
•
Published
•
1
Knowledge Solver: Teaching LLMs to Search for Domain Knowledge from
Knowledge Graphs
Paper
•
2309.03118
•
Published
•
2
MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large
Language Models
Paper
•
2308.09729
•
Published
•
4
Commonsense Knowledge Transfer for Pre-trained Language Models
Paper
•
2306.02388
•
Published
•
1
T-SciQ: Teaching Multimodal Chain-of-Thought Reasoning via Large
Language Model Signals for Science Question Answering
Paper
•
2305.03453
•
Published
•
1
Question Decomposition Improves the Faithfulness of Model-Generated
Reasoning
Paper
•
2307.11768
•
Published
•
12
Furthest Reasoning with Plan Assessment: Stable Reasoning Path with
Retrieval-Augmented Large Language Models
Paper
•
2309.12767
•
Published
•
1
Exploring the Integration Strategies of Retriever and Large Language
Models
Paper
•
2308.12574
•
Published
•
1
Search-in-the-Chain: Towards Accurate, Credible and Traceable Large
Language Models for Knowledge-intensive Tasks
Paper
•
2304.14732
•
Published
•
1
Improving Embedded Knowledge Graph Multi-hop Question Answering by
introducing Relational Chain Reasoning
Paper
•
2110.12679
•
Published
•
1
ControlLLM: Augment Language Models with Tools by Searching on Graphs
Paper
•
2310.17796
•
Published
•
16
ReAct: Synergizing Reasoning and Acting in Language Models
Paper
•
2210.03629
•
Published
•
14
Query Expansion by Prompting Large Language Models
Paper
•
2305.03653
•
Published
•
1
Reason for Future, Act for Now: A Principled Framework for Autonomous
LLM Agents with Provable Sample Efficiency
Paper
•
2309.17382
•
Published
•
4
Enabling Intelligent Interactions between an Agent and an LLM: A
Reinforcement Learning Approach
Paper
•
2306.03604
•
Published
•
1
Code Prompting: a Neural Symbolic Method for Complex Reasoning in Large
Language Models
Paper
•
2305.18507
•
Published
•
1
Boosting Language Models Reasoning with Chain-of-Knowledge Prompting
Paper
•
2306.06427
•
Published
•
2
Progressive-Hint Prompting Improves Reasoning in Large Language Models
Paper
•
2304.09797
•
Published
•
1
Small Language Models Improve Giants by Rewriting Their Outputs
Paper
•
2305.13514
•
Published
•
2
Introspective Tips: Large Language Model for In-Context Decision Making
Paper
•
2305.11598
•
Published
•
1
Tab-CoT: Zero-shot Tabular Chain of Thought
Paper
•
2305.17812
•
Published
•
2
Program of Thoughts Prompting: Disentangling Computation from Reasoning
for Numerical Reasoning Tasks
Paper
•
2211.12588
•
Published
•
3
Structured Chain-of-Thought Prompting for Code Generation
Paper
•
2305.06599
•
Published
•
1
Improving ChatGPT Prompt for Code Generation
Paper
•
2305.08360
•
Published
•
1
Not All Languages Are Created Equal in LLMs: Improving Multilingual
Capability by Cross-Lingual-Thought Prompting
Paper
•
2305.07004
•
Published
•
1
Bridging Code Semantic and LLMs: Semantic Chain-of-Thought Prompting for
Code Generation
Paper
•
2310.10698
•
Published
•
1
Test-Case-Driven Programming Understanding in Large Language Models for
Better Code Generation
Paper
•
2309.16120
•
Published
•
1
Ada-Instruct: Adapting Instruction Generators for Complex Reasoning
Paper
•
2310.04484
•
Published
•
5
Large Language Models are Zero-Shot Reasoners
Paper
•
2205.11916
•
Published
•
1
SelfzCoT: a Self-Prompt Zero-shot CoT from Semantic-level to Code-level
for a Better Utilization of LLMs
Paper
•
2305.11461
•
Published
•
1
Leveraging Training Data in Few-Shot Prompting for Numerical Reasoning
Paper
•
2305.18170
•
Published
•
2
Learning Multi-Step Reasoning by Solving Arithmetic Tasks
Paper
•
2306.01707
•
Published
•
1
Automatic Chain of Thought Prompting in Large Language Models
Paper
•
2210.03493
•
Published
•
2
Prompt Space Optimizing Few-shot Reasoning Success with Large Language
Models
Paper
•
2306.03799
•
Published
•
1
On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in
Zero-Shot Reasoning
Paper
•
2212.08061
•
Published
•
1
Large Language Models are Better Reasoners with Self-Verification
Paper
•
2212.09561
•
Published
•
1
Beyond Words: A Mathematical Framework for Interpreting Large Language
Models
Paper
•
2311.03033
•
Published
•
1
Everything of Thoughts: Defying the Law of Penrose Triangle for Thought
Generation
Paper
•
2311.04254
•
Published
•
13
Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework
Paper
•
2305.03268
•
Published
•
2
Learning to Reason and Memorize with Self-Notes
Paper
•
2305.00833
•
Published
•
4
ThinkSum: Probabilistic reasoning over sets using large language models
Paper
•
2210.01293
•
Published
•
1
Generating Efficient Training Data via LLM-based Attribute Manipulation
Paper
•
2307.07099
•
Published
•
1
EchoPrompt: Instructing the Model to Rephrase Queries for Improved
In-context Learning
Paper
•
2309.10687
•
Published
•
1
Self-Taught Optimizer (STOP): Recursively Self-Improving Code Generation
Paper
•
2310.02304
•
Published
•
1
On the Planning, Search, and Memorization Capabilities of Large Language
Models
Paper
•
2309.01868
•
Published
•
1
Dynamic Planning with a LLM
Paper
•
2308.06391
•
Published
•
2
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Paper
•
2203.11171
•
Published
•
1
Cognitive Architectures for Language Agents
Paper
•
2309.02427
•
Published
•
8
Contrastive Chain-of-Thought Prompting
Paper
•
2311.09277
•
Published
•
34
Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language
Models
Paper
•
2311.09210
•
Published
•
1
PathFinder: Guided Search over Multi-Step Reasoning Paths
Paper
•
2312.05180
•
Published
•
9
Training Chain-of-Thought via Latent-Variable Inference
Paper
•
2312.02179
•
Published
•
8
Chain of Code: Reasoning with a Language Model-Augmented Code Emulator
Paper
•
2312.04474
•
Published
•
29
Thread of Thought Unraveling Chaotic Contexts
Paper
•
2311.08734
•
Published
•
6
Fast Chain-of-Thought: A Glance of Future from Parallel Decoding Leads
to Answers Faster
Paper
•
2311.08263
•
Published
•
15
MuSR: Testing the Limits of Chain-of-thought with Multistep Soft
Reasoning
Paper
•
2310.16049
•
Published
•
4
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table
Understanding
Paper
•
2401.04398
•
Published
•
20
Efficient Tool Use with Chain-of-Abstraction Reasoning
Paper
•
2401.17464
•
Published
•
16
ADaPT: As-Needed Decomposition and Planning with Language Models
Paper
•
2311.05772
•
Published
•
10
SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step
Reasoning
Paper
•
2308.00436
•
Published
•
21
Better Zero-Shot Reasoning with Role-Play Prompting
Paper
•
2308.07702
•
Published
•
2
Augmenting Math Word Problems via Iterative Question Composing
Paper
•
2401.09003
•
Published
•
2
xCoT: Cross-lingual Instruction Tuning for Cross-lingual
Chain-of-Thought Reasoning
Paper
•
2401.07037
•
Published
•
2
Advancing LLM Reasoning Generalists with Preference Trees
Paper
•
2404.02078
•
Published
•
44
Prompting-based Synthetic Data Generation for Few-Shot Question
Answering
Paper
•
2405.09335
•
Published
Chain-of-Instructions: Compositional Instruction Tuning on Large
Language Models
Paper
•
2402.11532
•
Published
Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through
Self-Correction in Language Models
Paper
•
2407.03181
•
Published
•
1
Expediting and Elevating Large Language Model Reasoning via Hidden
Chain-of-Thought Decoding
Paper
•
2409.08561
•
Published