Vikas Yadav
25 papers · 2018–2026 · 8 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+10 more ↓ Show less ↑
π Academic Marathon (7) π Conference Polyglot (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (12)
π
Cross-Pollinator
(12)
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(47)
π€
Dynamic Duo
(10)
π§¬
Topic Evolution
π₯
Unstoppable
(5)
β
The Questioner
π
Century Club
(23)
ποΈ
Keyword Collector
(108)
β‘
Prolific Year
(5)
Conferences
NAACL (8)
EMNLP (6)
COLING (4)
ACL (3)
AAAI (1)
ICLR (1)
IJCNLP (1)
SEMEVAL (1)
Top co-authors
Keywords
large language model
(12)
unsupervised learning
(4)
synthetic datum
(2)
question answering
(2)
benchmark evaluation
(2)
model compression
(2)
sentence selection
(2)
multi-hop question answering
(2)
named entity recognition
(2)
evidence retrieval
(2)
multi-hop reasoning
(2)
mathematical reasoning
(2)
knowledge distillation
(1)
direct preference optimization
(1)
uncertainty quantification
(1)
probabilistic modeling
(1)
curriculum learning
(1)
unsupervised clustering
(1)
reinforcement learning
(1)
cross-lingual transfer
(1)
Papers
Grammar Search for Multi-Agent Systems
ACL 2026
DNR Bench: Benchmarking Over-Reasoning in Reasoning LLMs
AAAI 2026
Prompting with Phonemes: Enhancing LLMsβ Multilinguality for Non-Latin Script Languages
NAACL 2025
M2Lingual: Enhancing Multilingual, Multi-Turn Instruction Alignment in Large Language Models
NAACL 2025
Variable Layerwise Quantization: A Simple and Effective Approach to Quantize LLMs
ACL 2025
Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models
COLING 2025
Revitalizing Saturated Benchmarks: A Weighted Metric Approach for Differentiating Large Language Model Performance
NAACL 2025
CopySpec: Accelerating LLMs with Speculative Copy-and-Paste
EMNLP 2025
Diverse Multi-tool Aggregation with Large Language Models for Enhanced Math Reasoning
EMNLP 2025
ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models
EMNLP 2025
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework
NAACL 2025
AlpaGasus: Training a Better Alpaca with Fewer Data
ICLR 2024
Explicit over Implict: Explicit Diversity Conditions for Effective Question Answer Generation
COLING 2024
Change Is the Only Constant: Dynamic LLM Slicing based on Layer Redundancy
EMNLP 2024
Enhancing Alignment using Curriculum Learning & Ranked Preferences
EMNLP 2024
Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection
NAACL 2024
Towards Robust Neural Retrieval with Source Domain Synthetic Pre-Finetuning
COLING 2022
If You Want to Go Far Go Together: Unsupervised Joint Candidate Evidence Retrieval for Multi-hop Question Answering
NAACL 2021
Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering
ACL 2020
Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering
IJCNLP 2019
Alignment over Heterogeneous Embeddings for Question Answering
NAACL 2019
Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering
EMNLP 2019
University of Arizona at SemEval-2019 Task 12: Deep-Affix Named Entity Recognition of Geolocation Entities
SEMEVAL 2019
Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models
NAACL 2019
A Survey on Recent Advances in Named Entity Recognition from Deep Learning models
COLING 2018