Swaroop Mishra
35 papers · 2020–2025 · 9 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+13 more ↓ Show less ↑
π Conference Polyglot (9) π Academic Marathon (5) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (12)
π
Cross-Pollinator
(12)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(67)
π§¬
Topic Evolution
π₯
Mega-Team
(35)
π€
Dynamic Duo
(21)
π
Triple Crown
π
Grand Slam
β‘
Prolific Year
(6)
π₯
Unstoppable
(6)
β
The Questioner
(5)
ποΈ
Keyword Collector
(138)
π
Century Club
(35)
Conferences
ACL (10)
EMNLP (8)
EACL (4)
NAACL (4)
ICLR (3)
NIPS (3)
AAAI (1)
ICML (1)
IJCNLP (1)
Top co-authors
Keywords
large language model
(7)
few-shot learning
(6)
zero-shot learning
(4)
natural language processing
(4)
instruction tuning
(3)
foundation model
(3)
question answering
(3)
out-of-domain generalization
(3)
adversarial robustness
(3)
mathematical reasoning
(3)
instruction following
(3)
multi-task learning
(3)
benchmark evaluation
(3)
language model
(3)
selective prediction
(2)
data efficiency
(2)
natural language inference
(2)
code generation
(2)
prompt engineering
(2)
transfer learning
(2)
Papers
PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving
EMNLP 2025
Reverse Thinking Makes LLMs Stronger Reasoners
NAACL 2025
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting
ICLR 2025
Towards Robust Mathematical Reasoning
EMNLP 2025
InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis
NAACL 2024
In-Context Principle Learning from Mistakes
ICML 2024
Large Language Models Cannot Self-Correct Reasoning Yet
ICLR 2024
SELF-DISCOVER: Large Language Models Self-Compose Reasoning Structures
NIPS 2024
AutoMix: Automatically Mixing Language Models
NIPS 2024
Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models
ICLR 2024
How Many Data Samples is an Additional Instruction Worth?
EACL 2023
Self-Instruct: Aligning Language Models with Self-Generated Instructions
ACL 2023
HELP ME THINK: A Simple Prompting Strategy for Non-experts to Create Customized Content with Models
ACL 2023
βJohn is 50 years old, can his son be 65?β Evaluating NLP Modelsβ Understanding of Feasibility
EACL 2023
Donβt Blame the Annotator: Bias Already Starts in the Annotation Instructions
EACL 2023
Real-Time Visual Feedback to Guide Benchmark Creation: A Human-and-Metric-in-the-Loop Workflow
EACL 2023
InstructExcel: A Benchmark for Natural Language Instruction in Excel
EMNLP 2023
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering
NIPS 2022
Towards Improving Selective Prediction Ability of NLP Systems
ACL 2022
ILDAE: Instance-Level Difficulty Analysis of Evaluation Data
ACL 2022
In-BoXBART: Get Instructions into Biomedical Multi-Task Learning
NAACL 2022
Let the Model Decide its Curriculum for Multitask Learning
NAACL 2022
Less is More: Summary of Long Instructions is Better for Program Synthesis
EMNLP 2022
Is a Question Decomposition Unit All We Need?
EMNLP 2022
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
EMNLP 2022
LILA: A Unified Benchmark for Mathematical Reasoning
EMNLP 2022
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness
ACL 2022
Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings
ACL 2022
Reframing Instructional Prompts to GPTkβs Language
ACL 2022
NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks
ACL 2022
Cross-Task Generalization via Natural Language Crowdsourcing Instructions
ACL 2022
Constructing Flow Graphs from Procedural Cybersecurity Texts
IJCNLP 2021
How Robust are Model Rankings : A Leaderboard Customization Approach for Equitable Evaluation
AAAI 2021
Constructing Flow Graphs from Procedural Cybersecurity Texts
ACL 2021
Do We Need to Create Big Datasets to Learn a Task?
EMNLP 2020