issues
search
ZiminPark
/
coffee-augmented-rag
4
stars
0
forks
source link
issues
Newest
Newest
Most commented
Recently updated
Oldest
Least commented
Least recently updated
shortcuts
#40
haconedu
closed
5 days ago
0
citation precision
#39
haconedu
closed
5 days ago
0
Community summaries are randomly shuffled 는 하나의 커뮤니티 요약문 내에서 문장별로 여러 청크에 나눠버린다는 의미일지?
#38
haconedu
closed
1 week ago
1
Element Instances → Element Summaries
#37
haconedu
closed
1 week ago
0
QFS task vs Retrieval Task 차이점 이해하기
#36
ZiminPark
closed
1 week ago
1
using a logit bias of 100 to force a yes/no decision
#35
haconedu
closed
1 week ago
3
Reference "Graph RAG는 어떤 상황에서 효과적일까"
#34
ZiminPark
closed
1 week ago
0
소실된 컬럼들에 대한 정보
#33
ZiminPark
closed
2 weeks ago
1
(번외?) 원본 table과 행열을 transpose한 table 중 어떤 table이 성능이 괜찮을까?
#32
oneonlee
closed
2 weeks ago
3
Spreadsheet 처리하는데 Token 제한이 큰 문제일까...?
#31
ZiminPark
closed
2 weeks ago
1
Spreadsheet Encoding 방식 이해 잘했는지 확인
#30
ZiminPark
closed
2 weeks ago
0
reference for "Spreadsheet 데이터는 어떻게 인덱싱하는게 좋을까"
#29
ZiminPark
closed
2 weeks ago
0
Encoding해서 한 번에 LLM에 넣지 말고 부분부분을 Retrieval 잘 하는건 어떨까?
#28
ZiminPark
closed
2 weeks ago
1
QA 말고 Spreadsheet에 어떤 Task/ UseCase가 LLM이 필요할지?
#27
ZiminPark
closed
2 weeks ago
4
table detect Fine-tuning 을 어떻게 했을까?
#26
haconedu
closed
2 weeks ago
0
ATTENTION SATISFIES: A CONSTRAINT-SATISFACTION LENS ON FACTUAL ERRORS OF LANGUAGE MODELS
#25
haconedu
closed
1 month ago
0
Dissecting Recall of Factual Associations in Auto-Regressive Language Models
#24
haconedu
closed
1 month ago
0
Limitations 이야기해보기 - 작은모델, 큰모델
#23
ZiminPark
closed
1 month ago
1
이해하기 - Finding 2: Last token residual stream obtains more enriched information from the context, rather than subject token in query
#22
ZiminPark
closed
1 month ago
0
이해하기- Finding 1: Language models minimally use parametric memory in the presence of context
#21
ZiminPark
closed
1 month ago
1
reference for "RAG를 할때 LLM parameter에는 무슨 일이 일어날까"
#20
ZiminPark
closed
1 month ago
4
LoRA로 학습한건지 Full Finetuning으로 학습한건지?
#19
ZiminPark
closed
1 month ago
1
4.4 Should we train the LLM always with the golden context for RAG?
#18
ZiminPark
closed
1 month ago
0
HotPot 점수는 왜이렇게 점수차가 클까
#17
ZiminPark
closed
1 month ago
0
Distractor를 Hard Negative로 만드는게 도움이 될까?
#16
ZiminPark
closed
1 month ago
0
RAFT 학습용 데이터는 GPT-4로 생성한거 맞는지? 검수도 했나?
#15
ZiminPark
closed
1 month ago
0
"Domain"은 어떻게 정의할 수 있을까?
#14
ZiminPark
closed
1 month ago
6
RAFT discussion
#13
haconedu
closed
1 month ago
1
Reference for "RAFT"
#12
ZiminPark
closed
1 month ago
1
Lost in the middle을 어떻게 해결하려고 할까?
#11
ZiminPark
closed
1 month ago
4
Hypothesis 부분 제대로 이해했는지 확인하기
#9
ZiminPark
closed
1 month ago
1
Reference for "Long Context가 LLM에 들어갈 때 성능이 어떻게 변할까"
#8
ZiminPark
closed
1 month ago
2
Realism, Richness, Insightfulness, Reliability, Longevity 가 잘 드러난 벤치마크인가?
#7
ZiminPark
closed
1 month ago
0
Meta 연구다보니 Web Search/ Open Domain에 집중해서 만든 평가같다. Closed Domain, 작은 양의 문서의 평가에서는 어떻게 달라질까?
#6
ZiminPark
closed
1 month ago
0
Question Type 제대로 이해했는지 확인해보기
#5
ZiminPark
closed
1 month ago
1
Reference for "RAG Evaluation을 구성할 때 어떤 점들을 고려해야할까"
#4
ZiminPark
closed
1 month ago
4
readme
#3
ZiminPark
closed
1 month ago
0